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Cure Model Regression

Usage

# S3 method for formula
cureit(
  surv_formula,
  cure_formula,
  data,
  conf.level = 0.95,
  nboot = 100,
  eps = 1e-07,
  ...
)

cureit(object, ...)

# S3 method for default
cureit(object, ...)

Arguments

surv_formula

formula with Surv() on LHS and covariates on RHS.

cure_formula

formula with covariates for cure fraction on RHS

data

data frame

conf.level

confidence level. Default is 0.95.

nboot

number of bootstrap samples used for inference.

eps

convergence criterion for the EM algorithm.

...

passed to methods

object

input object

Value

cureit object

See also

Examples

cureit(surv_formula = Surv(ttdeath, death) ~ age + grade, 
cure_formula = ~ age + grade,  data = trial)
#> 0 were not able to fit
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002616112               0.569504769               0.345883977 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.575003030             0.009813492             0.108542405 
#>   grade_iii, Cure model 
#>             0.823899189 
#> 
#> $surv_formula
#> Surv(ttdeath, death) ~ age + grade
#> <environment: 0x5648155d1970>
#> 
#> $cure_formula
#> ~age + grade
#> <environment: 0x5648155d1970>
#> 
#> $data
#> # A tibble: 200 × 8
#>    trt      age marker stage grade response death ttdeath
#>    <chr>  <dbl>  <dbl> <fct> <fct>    <int> <dbl>   <dbl>
#>  1 Drug A    23  0.16  T1    II           0     0    24  
#>  2 Drug B     9  1.11  T2    I            1     0    24  
#>  3 Drug A    31  0.277 T1    II           0     0    24  
#>  4 Drug A    NA  2.07  T3    III          1     1    17.6
#>  5 Drug A    51  2.77  T4    III          1     1    16.4
#>  6 Drug B    39  0.613 T4    I            0     1    15.6
#>  7 Drug A    37  0.354 T1    II           0     0    24  
#>  8 Drug A    32  1.74  T1    I            0     1    18.4
#>  9 Drug A    31  0.144 T1    II           0     0    24  
#> 10 Drug B    34  0.205 T3    I            0     1    10.5
#> # ℹ 190 more rows
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> $surv_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $cure_xlevels
#> $cure_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure mod… -0.575      0.507     -1.13   -1.57      0.418   0.257 
#> 2 age, Cure model         0.00981    0.0103     0.954  -0.0103    0.0300  0.340 
#> 3 grade_ii, Cure model    0.109      0.377      0.288  -0.631     0.848   0.774 
#> 4 grade_iii, Cure model   0.824      0.388      2.12    0.0637    1.58    0.0337
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 age, Survival model    -0.00262   0.00887    -0.295  -0.0200    0.0148  0.768 
#> 2 grade_ii, Survival mo…  0.570     0.266       2.14    0.0486    1.09    0.0321
#> 3 grade_iii, Survival m…  0.346     0.248       1.40   -0.139     0.831   0.162 
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.575003          0.009813          0.108542          0.823899  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.575003030      0.009813492      0.108542405      0.823899189 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002616112      0.569504769      0.345883977 
#> 
#> $b_var
#> [1] 0.2568833428 0.0001057233 0.1424774477 0.1504490269
#> 
#> $b_sd
#> [1] 0.50683660 0.01028218 0.37746185 0.38787759
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.1344939        0.9544172        0.2875586        2.1241216 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.25658743       0.33987249       0.77368463       0.03365997 
#> 
#> $beta_var
#> [1] 0.0000787033 0.0706357168 0.0613044457
#> 
#> $beta_sd
#> [1] 0.008871488 0.265773808 0.247597346
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.2948899        2.1428175        1.3969616 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.76807802       0.03212775       0.16242513 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.000000000 0.000000000 0.000000000 0.604678067 0.658063410 0.000000000
#>   [7] 0.417229340 0.000000000 0.879376354 0.000000000 0.000000000 0.744886187
#>  [13] 0.787600867 0.142672058 0.944518547 0.000000000 0.693100768 0.000000000
#>  [19] 0.000000000 0.000000000 0.000000000 0.540871173 0.006912639 0.976381134
#>  [25] 0.640373656 0.000000000 0.000000000 0.684419417 0.522291631 0.000000000
#>  [31] 0.278243702 0.000000000 0.000000000 0.000000000 0.246976530 0.821307758
#>  [37] 0.000000000 0.666890646 0.466018936 0.456394953 0.829660071 0.854634203
#>  [43] 0.000000000 0.531599829 0.000000000 0.000000000 0.000000000 0.846335953
#>  [49] 0.446649365 0.887603756 0.000000000 0.000000000 0.368370905 0.837991986
#>  [55] 0.736284601 0.368370905 0.762052697 0.904005497 0.000000000 0.130947018
#>  [61] 0.000000000 0.000000000 0.178167087 0.000000000 0.298558895 0.093531067
#>  [67] 0.960518552 0.000000000 0.000000000 0.000000000 0.000000000 0.387858887
#>  [73] 0.968455884 0.020860827 0.613665875 0.000000000 0.753465281 0.000000000
#>  [79] 0.000000000 0.000000000 0.586773524 0.036370054 0.000000000 0.427038837
#>  [85] 0.267747949 0.984266892 0.106209363 0.895813391 0.000000000 0.000000000
#>  [91] 0.727657186 0.397671772 0.000000000 0.246976530 0.631469660 0.920311545
#>  [97] 0.000000000 0.000000000 0.000000000 0.348502061 0.550166021 0.862915985
#> [103] 0.436874482 0.000000000 0.494318881 0.513013956 0.000000000 0.118522726
#> [109] 0.000000000 0.503694197 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.779118376 0.649247645 0.000000000 0.992139734 0.308649170
#> [121] 0.080274841 0.568542449 0.000000000 0.000000000 0.718999352 0.475516896
#> [127] 0.000000000 0.201867710 0.000000000 0.000000000 0.224987874 0.796088245
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.912176411 0.000000000
#> [139] 0.000000000 0.000000000 0.952539418 0.318644852 0.000000000 0.000000000
#> [145] 0.236117909 0.804529313 0.770582430 0.000000000 0.701722215 0.328677697
#> [151] 0.871155498 0.000000000 0.000000000 0.000000000 0.000000000 0.065734870
#> [157] 0.000000000 0.338572747 0.675684959 0.050684149 0.154512416 0.358472658
#> [163] 0.559374570 0.000000000 0.000000000 0.000000000 0.189977968 0.000000000
#> [169] 0.812910823 0.000000000 0.407438340 0.710355937 0.577676416 0.000000000
#> [175] 0.936485829 0.484909262 0.000000000 0.000000000 0.928419678 0.622583868
#> [181] 0.288505592 0.000000000 0.586773524 0.000000000 0.166456957 0.000000000
#> [187] 0.213576414 0.000000000 0.000000000
#> 
#> $Time
#>     1     2     3     5     6     7     8     9    10    11    12    13    14 
#> 24.00 24.00 24.00 16.43 15.64 24.00 18.43 24.00 10.53 24.00 24.00 14.34 12.89 
#>    15    16    17    18    19    20    21    22    23    24    25    26    27 
#> 22.68  8.71 24.00 15.21 24.00 24.00 24.00 24.00 16.92 23.89  6.32 15.77 24.00 
#>    28    29    30    31    32    33    34    35    36    37    38    39    40 
#> 24.00 15.45 17.43 24.00 20.90 24.00 24.00 24.00 21.19 12.52 24.00 15.59 18.00 
#>    41    42    43    44    45    46    47    48    49    51    52    53    54 
#> 18.02 12.43 12.10 24.00 17.42 24.00 24.00 24.00 12.19 18.23 10.42 24.00 24.00 
#>    55    56    57    58    60    61    62    63    64    65    66    67    68 
#> 19.34 12.21 14.46 19.34 13.15 10.12 24.00 22.77 24.00 24.00 22.13 24.00 20.62 
#>    69    70    71    72    74    75    76    77    78    79    80    81    82 
#> 23.23  7.38 24.00 24.00 24.00 24.00 19.22  7.27 23.88 16.23 24.00 14.06 24.00 
#>    83    84    85    86    87    88    90    91    92    93    94    95    96 
#> 24.00 24.00 16.44 23.81 24.00 18.37 20.94  5.33 22.92 10.33 24.00 24.00 14.54 
#>    97    98    99   100   101   102   103   104   105   106   107   108   109 
#> 19.14 24.00 21.19 16.07  9.97 24.00 24.00 24.00 19.75 16.67 11.18 18.29 24.00 
#>   110   111   112   113   116   117   118   119   120   121   122   123   125 
#> 17.56 17.45 24.00 22.86 24.00 17.46 24.00 24.00 24.00 24.00 24.00 13.00 15.65 
#>   126   127   128   129   130   131   132   133   134   135   136   137   138 
#> 24.00  3.53 20.35 23.41 16.47 24.00 24.00 14.65 17.81 24.00 21.83 24.00 24.00 
#>   139   140   141   142   143   144   145   146   147   148   149   150   151 
#> 21.49 12.68 24.00 24.00 24.00 24.00 10.07 24.00 24.00 24.00  8.37 20.33 24.00 
#>   152   153   154   155   156   157   158   159   160   161   162   163   164 
#> 24.00 21.33 12.63 13.08 24.00 15.10 20.14 10.55 24.00 24.00 24.00 24.00 23.60 
#>   165   166   167   168   169   170   171   172   173   174   175   176   177 
#> 24.00 19.98 15.55 23.72 22.41 19.54 16.57 24.00 24.00 24.00 21.91 24.00 12.53 
#>   178   179   180   181   182   183   184   185   186   187   188   190   191 
#> 24.00 18.63 14.82 16.46 24.00  9.24 17.77 24.00 24.00  9.92 16.16 20.81 24.00 
#>   192   193   194   196   197   198   200 
#> 16.44 24.00 22.40 24.00 21.60 24.00 24.00 
#> 
#> $bootstrap_fit
#> $bootstrap_fit[[1]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01121437                0.54634795                0.64298863 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.55926985              0.03073031             -0.26951211 
#>   grade_iii, Cure model 
#>              1.19919893 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 106   16.67      1  49        1         0
#> 18    15.21      1  49        1         0
#> 153   21.33      1  55        1         0
#> 59    10.16      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 150   20.33      1  48        0         0
#> 16     8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 111   17.45      1  47        0         1
#> 128   20.35      1  35        0         1
#> 177   12.53      1  75        0         0
#> 179   18.63      1  42        0         0
#> 194   22.40      1  38        0         1
#> 139   21.49      1  63        1         0
#> 57    14.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 166   19.98      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 52    10.42      1  52        0         1
#> 10    10.53      1  34        0         0
#> 188   16.16      1  46        0         1
#> 63.1  22.77      1  31        1         0
#> 181   16.46      1  45        0         1
#> 133   14.65      1  57        0         0
#> 111.1 17.45      1  47        0         1
#> 99    21.19      1  38        0         1
#> 177.1 12.53      1  75        0         0
#> 56    12.21      1  60        0         0
#> 8     18.43      1  32        0         0
#> 134   17.81      1  47        1         0
#> 88    18.37      1  47        0         0
#> 79    16.23      1  54        1         0
#> 59.1  10.16      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 56.1  12.21      1  60        0         0
#> 89    11.44      1  NA        0         0
#> 111.2 17.45      1  47        0         1
#> 145   10.07      1  65        1         0
#> 171   16.57      1  41        0         1
#> 181.1 16.46      1  45        0         1
#> 24    23.89      1  38        0         0
#> 124    9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 49    12.19      1  48        1         0
#> 55    19.34      1  69        0         1
#> 101    9.97      1  10        0         1
#> 134.1 17.81      1  47        1         0
#> 90    20.94      1  50        0         1
#> 8.1   18.43      1  32        0         0
#> 114   13.68      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 130.1 16.47      1  53        0         1
#> 136   21.83      1  43        0         1
#> 8.2   18.43      1  32        0         0
#> 24.1  23.89      1  38        0         0
#> 114.1 13.68      1  NA        0         0
#> 4     17.64      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 93    10.33      1  52        0         1
#> 139.1 21.49      1  63        1         0
#> 188.1 16.16      1  46        0         1
#> 114.2 13.68      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 184   17.77      1  38        0         0
#> 117   17.46      1  26        0         1
#> 170   19.54      1  43        0         1
#> 111.3 17.45      1  47        0         1
#> 164   23.60      1  76        0         1
#> 66    22.13      1  53        0         0
#> 181.2 16.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 169.2 22.41      1  46        0         0
#> 169.3 22.41      1  46        0         0
#> 42    12.43      1  49        0         1
#> 133.1 14.65      1  57        0         0
#> 179.1 18.63      1  42        0         0
#> 183    9.24      1  67        1         0
#> 187    9.92      1  39        1         0
#> 124.1  9.73      1  NA        1         0
#> 194.2 22.40      1  38        0         1
#> 188.2 16.16      1  46        0         1
#> 42.1  12.43      1  49        0         1
#> 166.1 19.98      1  48        0         0
#> 51    18.23      1  83        0         1
#> 4.1   17.64      1  NA        0         1
#> 127    3.53      1  62        0         1
#> 26    15.77      1  49        0         1
#> 57.1  14.46      1  45        0         1
#> 40    18.00      1  28        1         0
#> 166.2 19.98      1  48        0         0
#> 36    21.19      1  48        0         1
#> 127.1  3.53      1  62        0         1
#> 195   11.76      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 55.1  19.34      1  69        0         1
#> 133.2 14.65      1  57        0         0
#> 66.1  22.13      1  53        0         0
#> 77     7.27      1  67        0         1
#> 123   13.00      1  44        1         0
#> 190   20.81      1  42        1         0
#> 187.1  9.92      1  39        1         0
#> 123.1 13.00      1  44        1         0
#> 134.2 17.81      1  47        1         0
#> 57.2  14.46      1  45        0         1
#> 114.3 13.68      1  NA        0         0
#> 16.1   8.71      1  71        0         1
#> 101.1  9.97      1  10        0         1
#> 167   15.55      1  56        1         0
#> 39    15.59      1  37        0         1
#> 44    24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 87    24.00      0  27        0         0
#> 121   24.00      0  57        1         0
#> 87.1  24.00      0  27        0         0
#> 102   24.00      0  49        0         0
#> 119   24.00      0  17        0         0
#> 137   24.00      0  45        1         0
#> 191   24.00      0  60        0         1
#> 87.2  24.00      0  27        0         0
#> 112   24.00      0  61        0         0
#> 174   24.00      0  49        1         0
#> 119.1 24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 173   24.00      0  19        0         1
#> 54    24.00      0  53        1         0
#> 174.1 24.00      0  49        1         0
#> 27    24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 196   24.00      0  19        0         0
#> 144   24.00      0  28        0         1
#> 156   24.00      0  50        1         0
#> 144.1 24.00      0  28        0         1
#> 44.1  24.00      0  56        0         0
#> 62    24.00      0  71        0         0
#> 2.1   24.00      0   9        0         0
#> 48    24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 104   24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 11    24.00      0  42        0         1
#> 104.1 24.00      0  50        1         0
#> 102.1 24.00      0  49        0         0
#> 75.1  24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 71    24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 53    24.00      0  32        0         1
#> 178   24.00      0  52        1         0
#> 147   24.00      0  76        1         0
#> 160   24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 165.1 24.00      0  47        0         0
#> 121.1 24.00      0  57        1         0
#> 27.1  24.00      0  63        1         0
#> 94    24.00      0  51        0         1
#> 112.1 24.00      0  61        0         0
#> 64    24.00      0  43        0         0
#> 118   24.00      0  44        1         0
#> 2.2   24.00      0   9        0         0
#> 20    24.00      0  46        1         0
#> 3     24.00      0  31        1         0
#> 83.1  24.00      0   6        0         0
#> 176   24.00      0  43        0         1
#> 83.2  24.00      0   6        0         0
#> 144.2 24.00      0  28        0         1
#> 122   24.00      0  66        0         0
#> 11.1  24.00      0  42        0         1
#> 109   24.00      0  48        0         0
#> 54.1  24.00      0  53        1         0
#> 151   24.00      0  42        0         0
#> 47    24.00      0  38        0         1
#> 83.3  24.00      0   6        0         0
#> 102.2 24.00      0  49        0         0
#> 20.1  24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 144.3 24.00      0  28        0         1
#> 80    24.00      0  41        0         0
#> 35    24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 83.4  24.00      0   6        0         0
#> 152   24.00      0  36        0         1
#> 103.1 24.00      0  56        1         0
#> 65    24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 172   24.00      0  41        0         0
#> 151.1 24.00      0  42        0         0
#> 46    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 178.1 24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 87.3  24.00      0  27        0         0
#> 2.3   24.00      0   9        0         0
#> 44.2  24.00      0  56        0         0
#> 142   24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.56          NA        NA      NA
#> 2 age, Cure model           0.0307        NA        NA      NA
#> 3 grade_ii, Cure model     -0.270         NA        NA      NA
#> 4 grade_iii, Cure model     1.20          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0112        NA        NA      NA
#> 2 grade_ii, Survival model    0.546         NA        NA      NA
#> 3 grade_iii, Survival model   0.643         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.55927           0.03073          -0.26951           1.19920  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.8 
#> Residual Deviance: 231.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.55926985       0.03073031      -0.26951211       1.19919893 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01121437       0.54634795       0.64298863 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7982916 0.8719429 0.5371331 0.7923657 0.6054352 0.9809174 0.6484935
#>   [8] 0.7687552 0.5963900 0.9135684 0.6789637 0.4185613 0.5145250 0.8909059
#>  [15] 0.2850273 0.4880813 0.6143850 0.4185613 0.9482325 0.9439718 0.8421114
#>  [22] 0.2850273 0.8209726 0.8767553 0.7687552 0.5480480 0.9135684 0.9311059
#>  [29] 0.6936738 0.7364223 0.7153259 0.8368556 0.3502400 0.9311059 0.7687552
#>  [36] 0.9566182 0.8041312 0.8209726 0.1074066 0.8098866 0.9397021 0.6484935
#>  [43] 0.9607425 0.7364223 0.5680181 0.6936738 0.5870886 0.8098866 0.5016654
#>  [50] 0.6936738 0.1074066 0.3286881 0.9524476 0.5145250 0.8421114 0.6714702
#>  [57] 0.7558411 0.7623404 0.6400570 0.7687552 0.2554971 0.4608279 0.8209726
#>  [64] 0.3502400 0.3502400 0.3502400 0.9224328 0.8767553 0.6789637 0.9769334
#>  [71] 0.9688946 0.4185613 0.8421114 0.9224328 0.6143850 0.7225661 0.9925039
#>  [78] 0.8571681 0.8909059 0.7295391 0.6143850 0.5480480 0.9925039 0.2063643
#>  [85] 0.6484935 0.8767553 0.4608279 0.9886671 0.9045891 0.5776923 0.9688946
#>  [92] 0.9045891 0.7364223 0.8909059 0.9809174 0.9607425 0.8670770 0.8621493
#>  [99] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   106    18   153    23   150    16    58   111   128   177   179   194   139 
#> 16.67 15.21 21.33 16.92 20.33  8.71 19.34 17.45 20.35 12.53 18.63 22.40 21.49 
#>    57    63   175   166 194.1    52    10   188  63.1   181   133 111.1    99 
#> 14.46 22.77 21.91 19.98 22.40 10.42 10.53 16.16 22.77 16.46 14.65 17.45 21.19 
#> 177.1    56     8   134    88    79   169  56.1 111.2   145   171 181.1    24 
#> 12.53 12.21 18.43 17.81 18.37 16.23 22.41 12.21 17.45 10.07 16.57 16.46 23.89 
#>   130    49    55   101 134.1    90   8.1    68 130.1   136   8.2  24.1    15 
#> 16.47 12.19 19.34  9.97 17.81 20.94 18.43 20.62 16.47 21.83 18.43 23.89 22.68 
#>    93 139.1 188.1    97   184   117   170 111.3   164    66 181.2 169.1 169.2 
#> 10.33 21.49 16.16 19.14 17.77 17.46 19.54 17.45 23.60 22.13 16.46 22.41 22.41 
#> 169.3    42 133.1 179.1   183   187 194.2 188.2  42.1 166.1    51   127    26 
#> 22.41 12.43 14.65 18.63  9.24  9.92 22.40 16.16 12.43 19.98 18.23  3.53 15.77 
#>  57.1    40 166.2    36 127.1    78  55.1 133.2  66.1    77   123   190 187.1 
#> 14.46 18.00 19.98 21.19  3.53 23.88 19.34 14.65 22.13  7.27 13.00 20.81  9.92 
#> 123.1 134.2  57.2  16.1 101.1   167    39    44   165    87   121  87.1   102 
#> 13.00 17.81 14.46  8.71  9.97 15.55 15.59 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   137   191  87.2   112   174 119.1   173    54 174.1    27     2   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   156 144.1  44.1    62   2.1    48    75   104   193    11 104.1 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1   103    71    83    53   178   147   160    19 165.1 121.1  27.1    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1    64   118   2.2    20     3  83.1   176  83.2 144.2   122  11.1   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1   151    47  83.3 102.2  20.1   163 144.3    80    35   162   146    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.4   152 103.1    65    28   172 151.1    46    12 178.1    67  87.3   2.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.2   142    74 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[2]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003068964               0.412259046               0.513073506 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.23785323              0.02510017              0.34639496 
#>   grade_iii, Cure model 
#>              0.64936671 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 10    10.53      1  34        0         0
#> 15    22.68      1  48        0         0
#> 81    14.06      1  34        0         0
#> 180   14.82      1  37        0         0
#> 192   16.44      1  31        1         0
#> 24    23.89      1  38        0         0
#> 181   16.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 111   17.45      1  47        0         1
#> 42    12.43      1  49        0         1
#> 169   22.41      1  46        0         0
#> 18    15.21      1  49        1         0
#> 169.1 22.41      1  46        0         0
#> 79    16.23      1  54        1         0
#> 130   16.47      1  53        0         1
#> 183    9.24      1  67        1         0
#> 190   20.81      1  42        1         0
#> 113   22.86      1  34        0         0
#> 93    10.33      1  52        0         1
#> 187    9.92      1  39        1         0
#> 77     7.27      1  67        0         1
#> 51    18.23      1  83        0         1
#> 155   13.08      1  26        0         0
#> 26    15.77      1  49        0         1
#> 29    15.45      1  68        1         0
#> 30    17.43      1  78        0         0
#> 88    18.37      1  47        0         0
#> 97    19.14      1  65        0         1
#> 155.1 13.08      1  26        0         0
#> 57    14.46      1  45        0         1
#> 16     8.71      1  71        0         1
#> 42.1  12.43      1  49        0         1
#> 117   17.46      1  26        0         1
#> 189   10.51      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 77.1   7.27      1  67        0         1
#> 60    13.15      1  38        1         0
#> 92    22.92      1  47        0         1
#> 145   10.07      1  65        1         0
#> 66    22.13      1  53        0         0
#> 168   23.72      1  70        0         0
#> 189.1 10.51      1  NA        1         0
#> 81.1  14.06      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 91     5.33      1  61        0         1
#> 150   20.33      1  48        0         0
#> 79.1  16.23      1  54        1         0
#> 167   15.55      1  56        1         0
#> 58    19.34      1  39        0         0
#> 184   17.77      1  38        0         0
#> 134   17.81      1  47        1         0
#> 13    14.34      1  54        0         1
#> 150.1 20.33      1  48        0         0
#> 117.1 17.46      1  26        0         1
#> 169.2 22.41      1  46        0         0
#> 192.1 16.44      1  31        1         0
#> 169.3 22.41      1  46        0         0
#> 90    20.94      1  50        0         1
#> 81.2  14.06      1  34        0         0
#> 175   21.91      1  43        0         0
#> 100   16.07      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 57.1  14.46      1  45        0         1
#> 93.1  10.33      1  52        0         1
#> 70     7.38      1  30        1         0
#> 158.1 20.14      1  74        1         0
#> 26.1  15.77      1  49        0         1
#> 99    21.19      1  38        0         1
#> 166   19.98      1  48        0         0
#> 37    12.52      1  57        1         0
#> 117.2 17.46      1  26        0         1
#> 13.1  14.34      1  54        0         1
#> 111.1 17.45      1  47        0         1
#> 39    15.59      1  37        0         1
#> 139   21.49      1  63        1         0
#> 159   10.55      1  50        0         1
#> 188   16.16      1  46        0         1
#> 63    22.77      1  31        1         0
#> 30.1  17.43      1  78        0         0
#> 184.1 17.77      1  38        0         0
#> 97.1  19.14      1  65        0         1
#> 37.1  12.52      1  57        1         0
#> 18.1  15.21      1  49        1         0
#> 167.1 15.55      1  56        1         0
#> 40    18.00      1  28        1         0
#> 99.1  21.19      1  38        0         1
#> 145.1 10.07      1  65        1         0
#> 68    20.62      1  44        0         0
#> 195.1 11.76      1  NA        1         0
#> 150.2 20.33      1  48        0         0
#> 139.1 21.49      1  63        1         0
#> 90.1  20.94      1  50        0         1
#> 164   23.60      1  76        0         1
#> 58.1  19.34      1  39        0         0
#> 159.1 10.55      1  50        0         1
#> 129   23.41      1  53        1         0
#> 164.1 23.60      1  76        0         1
#> 93.2  10.33      1  52        0         1
#> 68.1  20.62      1  44        0         0
#> 16.1   8.71      1  71        0         1
#> 157   15.10      1  47        0         0
#> 55    19.34      1  69        0         1
#> 190.1 20.81      1  42        1         0
#> 154   12.63      1  20        1         0
#> 16.2   8.71      1  71        0         1
#> 127    3.53      1  62        0         1
#> 63.1  22.77      1  31        1         0
#> 190.2 20.81      1  42        1         0
#> 157.1 15.10      1  47        0         0
#> 81.3  14.06      1  34        0         0
#> 73    24.00      0  NA        0         1
#> 161   24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 20    24.00      0  46        1         0
#> 182   24.00      0  35        0         0
#> 122   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 193   24.00      0  45        0         1
#> 73.1  24.00      0  NA        0         1
#> 174   24.00      0  49        1         0
#> 102   24.00      0  49        0         0
#> 200   24.00      0  64        0         0
#> 104   24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 119   24.00      0  17        0         0
#> 132.1 24.00      0  55        0         0
#> 112   24.00      0  61        0         0
#> 19    24.00      0  57        0         1
#> 142   24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 122.1 24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 9     24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 109   24.00      0  48        0         0
#> 186.1 24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 182.1 24.00      0  35        0         0
#> 185   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 20.1  24.00      0  46        1         0
#> 94.1  24.00      0  51        0         1
#> 82    24.00      0  34        0         0
#> 19.1  24.00      0  57        0         1
#> 31    24.00      0  36        0         1
#> 185.1 24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 38    24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 178.1 24.00      0  52        1         0
#> 102.1 24.00      0  49        0         0
#> 144.1 24.00      0  28        0         1
#> 126   24.00      0  48        0         0
#> 144.2 24.00      0  28        0         1
#> 118   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 148   24.00      0  61        1         0
#> 142.1 24.00      0  53        0         0
#> 102.2 24.00      0  49        0         0
#> 3     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 67.1  24.00      0  25        0         0
#> 38.1  24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 156   24.00      0  50        1         0
#> 82.1  24.00      0  34        0         0
#> 72.1  24.00      0  40        0         1
#> 176   24.00      0  43        0         1
#> 11    24.00      0  42        0         1
#> 104.1 24.00      0  50        1         0
#> 144.3 24.00      0  28        0         1
#> 161.1 24.00      0  45        0         0
#> 196   24.00      0  19        0         0
#> 19.2  24.00      0  57        0         1
#> 135   24.00      0  58        1         0
#> 21.1  24.00      0  47        0         0
#> 33    24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 12    24.00      0  63        0         0
#> 191   24.00      0  60        0         1
#> 71    24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 182.2 24.00      0  35        0         0
#> 115   24.00      0  NA        1         0
#> 143   24.00      0  51        0         0
#> 2.1   24.00      0   9        0         0
#> 182.3 24.00      0  35        0         0
#> 191.1 24.00      0  60        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.24          NA        NA      NA
#> 2 age, Cure model           0.0251        NA        NA      NA
#> 3 grade_ii, Cure model      0.346         NA        NA      NA
#> 4 grade_iii, Cure model     0.649         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00307        NA        NA      NA
#> 2 grade_ii, Survival model   0.412          NA        NA      NA
#> 3 grade_iii, Survival model  0.513          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.2379            0.0251            0.3464            0.6494  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 253.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.23785323       0.02510017       0.34639496       0.64936671 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003068964      0.412259046      0.513073506 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.867374579 0.138993248 0.753438372 0.712059676 0.575691009 0.007841835
#>   [7] 0.558023736 0.914855195 0.513024377 0.835220326 0.149993330 0.678691979
#>  [13] 0.149993330 0.593158301 0.548987881 0.930590935 0.275484841 0.106307322
#>  [19] 0.875424985 0.922734465 0.969311801 0.438651969 0.794278489 0.627841238
#>  [25] 0.670249359 0.530941284 0.429006244 0.409988464 0.794278489 0.720475315
#>  [31] 0.938432210 0.835220326 0.485967462 0.082343528 0.969311801 0.786030489
#>  [37] 0.094661922 0.899080658 0.190855379 0.024123005 0.753438372 0.558023736
#>  [43] 0.984660204 0.323176078 0.593158301 0.653422917 0.381311420 0.467185712
#>  [49] 0.457740784 0.737033365 0.323176078 0.485967462 0.149993330 0.575691009
#>  [55] 0.149993330 0.255572347 0.753438372 0.202110419 0.619151889 0.352119212
#>  [61] 0.720475315 0.875424985 0.961562636 0.352119212 0.627841238 0.234966216
#>  [67] 0.371470686 0.818939956 0.485967462 0.737033365 0.513024377 0.644894769
#>  [73] 0.213443626 0.851363143 0.610483002 0.118081703 0.530941284 0.467185712
#>  [79] 0.409988464 0.818939956 0.678691979 0.653422917 0.448235581 0.234966216
#>  [85] 0.899080658 0.303822748 0.323176078 0.213443626 0.255572347 0.043492082
#>  [91] 0.381311420 0.851363143 0.068934148 0.043492082 0.875424985 0.303822748
#>  [97] 0.938432210 0.695348935 0.381311420 0.275484841 0.810714894 0.938432210
#> [103] 0.992341395 0.118081703 0.275484841 0.695348935 0.753438372 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    10    15    81   180   192    24   181   101   111    42   169    18 169.1 
#> 10.53 22.68 14.06 14.82 16.44 23.89 16.46  9.97 17.45 12.43 22.41 15.21 22.41 
#>    79   130   183   190   113    93   187    77    51   155    26    29    30 
#> 16.23 16.47  9.24 20.81 22.86 10.33  9.92  7.27 18.23 13.08 15.77 15.45 17.43 
#>    88    97 155.1    57    16  42.1   117    69  77.1    60    92   145    66 
#> 18.37 19.14 13.08 14.46  8.71 12.43 17.46 23.23  7.27 13.15 22.92 10.07 22.13 
#>   168  81.1 181.1    91   150  79.1   167    58   184   134    13 150.1 117.1 
#> 23.72 14.06 16.46  5.33 20.33 16.23 15.55 19.34 17.77 17.81 14.34 20.33 17.46 
#> 169.2 192.1 169.3    90  81.2   175   100   158  57.1  93.1    70 158.1  26.1 
#> 22.41 16.44 22.41 20.94 14.06 21.91 16.07 20.14 14.46 10.33  7.38 20.14 15.77 
#>    99   166    37 117.2  13.1 111.1    39   139   159   188    63  30.1 184.1 
#> 21.19 19.98 12.52 17.46 14.34 17.45 15.59 21.49 10.55 16.16 22.77 17.43 17.77 
#>  97.1  37.1  18.1 167.1    40  99.1 145.1    68 150.2 139.1  90.1   164  58.1 
#> 19.14 12.52 15.21 15.55 18.00 21.19 10.07 20.62 20.33 21.49 20.94 23.60 19.34 
#> 159.1   129 164.1  93.2  68.1  16.1   157    55 190.1   154  16.2   127  63.1 
#> 10.55 23.41 23.60 10.33 20.62  8.71 15.10 19.34 20.81 12.63  8.71  3.53 22.77 
#> 190.2 157.1  81.3   161    75    20   182   122   186   116   193   174   102 
#> 20.81 15.10 14.06 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200   104   132   119 132.1   112    19   142   151 122.1     7     9   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47    94   109 186.1   162    67 182.1   185    84  20.1  94.1    82  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31 185.1   144    38     2 178.1 102.1 144.1   126 144.2   118    72   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1 102.2     3   152    21  67.1  38.1 109.1    95    83   156  82.1  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176    11 104.1 144.3 161.1   196  19.2   135  21.1    33   165   160    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   191    71    74    64 182.2   143   2.1 182.3 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[3]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005319537               0.604158759               0.588879712 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.238482385             0.008123409            -0.358156697 
#>   grade_iii, Cure model 
#>             0.384475673 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 167   15.55      1  56        1         0
#> 81    14.06      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 61    10.12      1  36        0         1
#> 124    9.73      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 149    8.37      1  33        1         0
#> 149.1  8.37      1  33        1         0
#> 16     8.71      1  71        0         1
#> 40.1  18.00      1  28        1         0
#> 179   18.63      1  42        0         0
#> 157   15.10      1  47        0         0
#> 175   21.91      1  43        0         0
#> 190   20.81      1  42        1         0
#> 51    18.23      1  83        0         1
#> 52    10.42      1  52        0         1
#> 124.1  9.73      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 166   19.98      1  48        0         0
#> 23    16.92      1  61        0         0
#> 41    18.02      1  40        1         0
#> 77.1   7.27      1  67        0         1
#> 40.2  18.00      1  28        1         0
#> 26    15.77      1  49        0         1
#> 117   17.46      1  26        0         1
#> 58    19.34      1  39        0         0
#> 149.2  8.37      1  33        1         0
#> 42    12.43      1  49        0         1
#> 149.3  8.37      1  33        1         0
#> 89.1  11.44      1  NA        0         0
#> 8     18.43      1  32        0         0
#> 129   23.41      1  53        1         0
#> 169   22.41      1  46        0         0
#> 30    17.43      1  78        0         0
#> 199   19.81      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 89.2  11.44      1  NA        0         0
#> 60    13.15      1  38        1         0
#> 145   10.07      1  65        1         0
#> 157.1 15.10      1  47        0         0
#> 57    14.46      1  45        0         1
#> 99    21.19      1  38        0         1
#> 13    14.34      1  54        0         1
#> 113   22.86      1  34        0         0
#> 69    23.23      1  25        0         1
#> 168   23.72      1  70        0         0
#> 79    16.23      1  54        1         0
#> 24    23.89      1  38        0         0
#> 99.1  21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 36    21.19      1  48        0         1
#> 164   23.60      1  76        0         1
#> 16.1   8.71      1  71        0         1
#> 52.1  10.42      1  52        0         1
#> 101    9.97      1  10        0         1
#> 100   16.07      1  60        0         0
#> 167.1 15.55      1  56        1         0
#> 8.1   18.43      1  32        0         0
#> 91     5.33      1  61        0         1
#> 175.1 21.91      1  43        0         0
#> 187    9.92      1  39        1         0
#> 133   14.65      1  57        0         0
#> 76    19.22      1  54        0         1
#> 96    14.54      1  33        0         1
#> 199.1 19.81      1  NA        0         1
#> 51.1  18.23      1  83        0         1
#> 91.1   5.33      1  61        0         1
#> 168.1 23.72      1  70        0         0
#> 4     17.64      1  NA        0         1
#> 51.2  18.23      1  83        0         1
#> 130   16.47      1  53        0         1
#> 66    22.13      1  53        0         0
#> 89.3  11.44      1  NA        0         0
#> 149.4  8.37      1  33        1         0
#> 30.1  17.43      1  78        0         0
#> 30.2  17.43      1  78        0         0
#> 110   17.56      1  65        0         1
#> 168.2 23.72      1  70        0         0
#> 188   16.16      1  46        0         1
#> 114   13.68      1  NA        0         0
#> 180.1 14.82      1  37        0         0
#> 145.1 10.07      1  65        1         0
#> 113.1 22.86      1  34        0         0
#> 45    17.42      1  54        0         1
#> 180.2 14.82      1  37        0         0
#> 78    23.88      1  43        0         0
#> 63    22.77      1  31        1         0
#> 158   20.14      1  74        1         0
#> 4.1   17.64      1  NA        0         1
#> 129.1 23.41      1  53        1         0
#> 49    12.19      1  48        1         0
#> 14    12.89      1  21        0         0
#> 181   16.46      1  45        0         1
#> 187.1  9.92      1  39        1         0
#> 55    19.34      1  69        0         1
#> 114.1 13.68      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 123   13.00      1  44        1         0
#> 76.1  19.22      1  54        0         1
#> 188.1 16.16      1  46        0         1
#> 168.3 23.72      1  70        0         0
#> 63.1  22.77      1  31        1         0
#> 123.1 13.00      1  44        1         0
#> 171   16.57      1  41        0         1
#> 90    20.94      1  50        0         1
#> 180.3 14.82      1  37        0         0
#> 6     15.64      1  39        0         0
#> 91.2   5.33      1  61        0         1
#> 86    23.81      1  58        0         1
#> 129.2 23.41      1  53        1         0
#> 169.1 22.41      1  46        0         0
#> 138   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 160   24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 156   24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 173   24.00      0  19        0         1
#> 126   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 47    24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 80    24.00      0  41        0         0
#> 47.1  24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 73    24.00      0  NA        0         1
#> 38    24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 48    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 22.1  24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 112   24.00      0  61        0         0
#> 147   24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 44    24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 104.1 24.00      0  50        1         0
#> 72    24.00      0  40        0         1
#> 156.1 24.00      0  50        1         0
#> 176.1 24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 35    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 172   24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 161   24.00      0  45        0         0
#> 54.1  24.00      0  53        1         0
#> 84    24.00      0  39        0         1
#> 173.1 24.00      0  19        0         1
#> 38.1  24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 72.1  24.00      0  40        0         1
#> 72.2  24.00      0  40        0         1
#> 44.1  24.00      0  56        0         0
#> 147.1 24.00      0  76        1         0
#> 115   24.00      0  NA        1         0
#> 1     24.00      0  23        1         0
#> 135   24.00      0  58        1         0
#> 143   24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 178.1 24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 47.2  24.00      0  38        0         1
#> 198   24.00      0  66        0         1
#> 12.1  24.00      0  63        0         0
#> 109   24.00      0  48        0         0
#> 1.1   24.00      0  23        1         0
#> 118.1 24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 102.1 24.00      0  49        0         0
#> 98    24.00      0  34        1         0
#> 12.2  24.00      0  63        0         0
#> 83    24.00      0   6        0         0
#> 31    24.00      0  36        0         1
#> 118.2 24.00      0  44        1         0
#> 7.1   24.00      0  37        1         0
#> 109.1 24.00      0  48        0         0
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 65.1  24.00      0  57        1         0
#> 46.1  24.00      0  71        0         0
#> 143.1 24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 2.1   24.00      0   9        0         0
#> 53    24.00      0  32        0         1
#> 47.3  24.00      0  38        0         1
#> 27.2  24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.238          NA        NA      NA
#> 2 age, Cure model          0.00812        NA        NA      NA
#> 3 grade_ii, Cure model    -0.358          NA        NA      NA
#> 4 grade_iii, Cure model    0.384          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00532        NA        NA      NA
#> 2 grade_ii, Survival model   0.604          NA        NA      NA
#> 3 grade_iii, Survival model  0.589          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.238482          0.008123         -0.358157          0.384476  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 251.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.238482385      0.008123409     -0.358156697      0.384475673 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005319537      0.604158759      0.588879712 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.644195174 0.755096712 0.958214960 0.846169824 0.453398157 0.916489633
#>   [7] 0.916489633 0.899137319 0.453398157 0.382191698 0.662545360 0.245005216
#>  [13] 0.309672046 0.413108144 0.828243103 0.681008694 0.330666370 0.540020803
#>  [19] 0.443232955 0.958214960 0.453398157 0.625546116 0.491845834 0.341198311
#>  [25] 0.916489633 0.810031155 0.916489633 0.392532094 0.109863037 0.211801565
#>  [31] 0.501456585 0.800863929 0.764372423 0.855134588 0.662545360 0.736542297
#>  [37] 0.267570855 0.745839816 0.167620195 0.144182035 0.047064951 0.588216683
#>  [43] 0.005295032 0.267570855 0.156078242 0.267570855 0.095031349 0.899137319
#>  [49] 0.828243103 0.872861141 0.616180257 0.644195174 0.392532094 0.975050571
#>  [55] 0.245005216 0.881705913 0.717786644 0.361899117 0.727195419 0.413108144
#>  [61] 0.975050571 0.047064951 0.413108144 0.569135938 0.233669251 0.916489633
#>  [67] 0.501456585 0.501456585 0.482126996 0.047064951 0.597667207 0.681008694
#>  [73] 0.855134588 0.167620195 0.530292409 0.681008694 0.018007553 0.190414677
#>  [79] 0.320209504 0.109863037 0.819158253 0.791731096 0.578709207 0.881705913
#>  [85] 0.341198311 0.549798008 0.773592769 0.361899117 0.597667207 0.047064951
#>  [91] 0.190414677 0.773592769 0.559504470 0.298965833 0.681008694 0.634857814
#>  [97] 0.975050571 0.033479758 0.109863037 0.211801565 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   167    81    77    61    40   149 149.1    16  40.1   179   157   175   190 
#> 15.55 14.06  7.27 10.12 18.00  8.37  8.37  8.71 18.00 18.63 15.10 21.91 20.81 
#>    51    52   180   166    23    41  77.1  40.2    26   117    58 149.2    42 
#> 18.23 10.42 14.82 19.98 16.92 18.02  7.27 18.00 15.77 17.46 19.34  8.37 12.43 
#> 149.3     8   129   169    30   177    60   145 157.1    57    99    13   113 
#>  8.37 18.43 23.41 22.41 17.43 12.53 13.15 10.07 15.10 14.46 21.19 14.34 22.86 
#>    69   168    79    24  99.1    92    36   164  16.1  52.1   101   100 167.1 
#> 23.23 23.72 16.23 23.89 21.19 22.92 21.19 23.60  8.71 10.42  9.97 16.07 15.55 
#>   8.1    91 175.1   187   133    76    96  51.1  91.1 168.1  51.2   130    66 
#> 18.43  5.33 21.91  9.92 14.65 19.22 14.54 18.23  5.33 23.72 18.23 16.47 22.13 
#> 149.4  30.1  30.2   110 168.2   188 180.1 145.1 113.1    45 180.2    78    63 
#>  8.37 17.43 17.43 17.56 23.72 16.16 14.82 10.07 22.86 17.42 14.82 23.88 22.77 
#>   158 129.1    49    14   181 187.1    55   106   123  76.1 188.1 168.3  63.1 
#> 20.14 23.41 12.19 12.89 16.46  9.92 19.34 16.67 13.00 19.22 16.16 23.72 22.77 
#> 123.1   171    90 180.3     6  91.2    86 129.2 169.1   138    17    46     2 
#> 13.00 16.57 20.94 14.82 15.64  5.33 23.81 23.41 22.41 24.00 24.00 24.00 24.00 
#>   160     7    27    22   156   176   173   126     9    19    47    28    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1   185   162    67    38   104    48   118  22.1   191   112   147    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    44   102 104.1    72 156.1 176.1    12    35    54   172   142   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1    84 173.1  38.1 161.1  72.1  72.2  44.1 147.1     1   135   143  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62 178.1    20  47.2   198  12.1   109   1.1 118.1  27.1 102.1    98  12.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83    31 118.2   7.1 109.1   116   122  65.1  46.1 143.1   120   2.1    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.3  27.2   152    95 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[4]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01178161                0.80281286                0.42525954 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.52957583              0.01535231             -0.10449292 
#>   grade_iii, Cure model 
#>              0.18769368 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 37    12.52      1  57        1         0
#> 37.1  12.52      1  57        1         0
#> 13    14.34      1  54        0         1
#> 45    17.42      1  54        0         1
#> 40    18.00      1  28        1         0
#> 45.1  17.42      1  54        0         1
#> 106   16.67      1  49        1         0
#> 86    23.81      1  58        0         1
#> 57    14.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 25     6.32      1  34        1         0
#> 149    8.37      1  33        1         0
#> 175   21.91      1  43        0         0
#> 187    9.92      1  39        1         0
#> 78    23.88      1  43        0         0
#> 70     7.38      1  30        1         0
#> 166   19.98      1  48        0         0
#> 32    20.90      1  37        1         0
#> 188   16.16      1  46        0         1
#> 158   20.14      1  74        1         0
#> 15    22.68      1  48        0         0
#> 105   19.75      1  60        0         0
#> 99    21.19      1  38        0         1
#> 45.2  17.42      1  54        0         1
#> 55    19.34      1  69        0         1
#> 157   15.10      1  47        0         0
#> 32.1  20.90      1  37        1         0
#> 179   18.63      1  42        0         0
#> 123   13.00      1  44        1         0
#> 88    18.37      1  47        0         0
#> 189   10.51      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 37.2  12.52      1  57        1         0
#> 106.1 16.67      1  49        1         0
#> 86.1  23.81      1  58        0         1
#> 16     8.71      1  71        0         1
#> 179.1 18.63      1  42        0         0
#> 197   21.60      1  69        1         0
#> 168   23.72      1  70        0         0
#> 26.1  15.77      1  49        0         1
#> 77     7.27      1  67        0         1
#> 168.1 23.72      1  70        0         0
#> 40.1  18.00      1  28        1         0
#> 106.2 16.67      1  49        1         0
#> 79    16.23      1  54        1         0
#> 42    12.43      1  49        0         1
#> 70.1   7.38      1  30        1         0
#> 184   17.77      1  38        0         0
#> 175.1 21.91      1  43        0         0
#> 133   14.65      1  57        0         0
#> 92    22.92      1  47        0         1
#> 154   12.63      1  20        1         0
#> 92.1  22.92      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 51    18.23      1  83        0         1
#> 190   20.81      1  42        1         0
#> 140   12.68      1  59        1         0
#> 130   16.47      1  53        0         1
#> 177   12.53      1  75        0         0
#> 89    11.44      1  NA        0         0
#> 79.1  16.23      1  54        1         0
#> 167   15.55      1  56        1         0
#> 184.1 17.77      1  38        0         0
#> 154.1 12.63      1  20        1         0
#> 169   22.41      1  46        0         0
#> 110   17.56      1  65        0         1
#> 183    9.24      1  67        1         0
#> 150   20.33      1  48        0         0
#> 45.3  17.42      1  54        0         1
#> 36    21.19      1  48        0         1
#> 88.1  18.37      1  47        0         0
#> 66    22.13      1  53        0         0
#> 59    10.16      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 125   15.65      1  67        1         0
#> 15.1  22.68      1  48        0         0
#> 158.1 20.14      1  74        1         0
#> 166.1 19.98      1  48        0         0
#> 164   23.60      1  76        0         1
#> 130.1 16.47      1  53        0         1
#> 155   13.08      1  26        0         0
#> 55.1  19.34      1  69        0         1
#> 43    12.10      1  61        0         1
#> 130.2 16.47      1  53        0         1
#> 123.1 13.00      1  44        1         0
#> 6     15.64      1  39        0         0
#> 13.1  14.34      1  54        0         1
#> 63    22.77      1  31        1         0
#> 66.1  22.13      1  53        0         0
#> 57.1  14.46      1  45        0         1
#> 70.2   7.38      1  30        1         0
#> 177.1 12.53      1  75        0         0
#> 52    10.42      1  52        0         1
#> 181   16.46      1  45        0         1
#> 58.1  19.34      1  39        0         0
#> 29    15.45      1  68        1         0
#> 190.1 20.81      1  42        1         0
#> 101    9.97      1  10        0         1
#> 111   17.45      1  47        0         1
#> 114.1 13.68      1  NA        0         0
#> 37.3  12.52      1  57        1         0
#> 25.1   6.32      1  34        1         0
#> 105.1 19.75      1  60        0         0
#> 88.2  18.37      1  47        0         0
#> 114.2 13.68      1  NA        0         0
#> 29.1  15.45      1  68        1         0
#> 13.2  14.34      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 6.1   15.64      1  39        0         0
#> 41    18.02      1  40        1         0
#> 85    16.44      1  36        0         0
#> 149.1  8.37      1  33        1         0
#> 115   24.00      0  NA        1         0
#> 137   24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 138   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 178   24.00      0  52        1         0
#> 103   24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 71    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 161   24.00      0  45        0         0
#> 19    24.00      0  57        0         1
#> 116   24.00      0  58        0         1
#> 71.1  24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 17    24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 35    24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 72    24.00      0  40        0         1
#> 132   24.00      0  55        0         0
#> 44    24.00      0  56        0         0
#> 94    24.00      0  51        0         1
#> 185   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 62    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 137.1 24.00      0  45        1         0
#> 31.1  24.00      0  36        0         1
#> 191   24.00      0  60        0         1
#> 165   24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 54    24.00      0  53        1         0
#> 84    24.00      0  39        0         1
#> 38    24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 200.1 24.00      0  64        0         0
#> 47    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 38.1  24.00      0  31        1         0
#> 137.2 24.00      0  45        1         0
#> 165.1 24.00      0  47        0         0
#> 54.1  24.00      0  53        1         0
#> 9.1   24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 47.1  24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 137.3 24.00      0  45        1         0
#> 94.1  24.00      0  51        0         1
#> 104   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 98    24.00      0  34        1         0
#> 34.1  24.00      0  36        0         0
#> 38.2  24.00      0  31        1         0
#> 80.1  24.00      0  41        0         0
#> 137.4 24.00      0  45        1         0
#> 115.1 24.00      0  NA        1         0
#> 103.1 24.00      0  56        1         0
#> 98.1  24.00      0  34        1         0
#> 119   24.00      0  17        0         0
#> 27.1  24.00      0  63        1         0
#> 198   24.00      0  66        0         1
#> 27.2  24.00      0  63        1         0
#> 191.1 24.00      0  60        0         1
#> 21    24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 33    24.00      0  53        0         0
#> 146   24.00      0  63        1         0
#> 103.2 24.00      0  56        1         0
#> 118   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 11    24.00      0  42        0         1
#> 73.1  24.00      0  NA        0         1
#> 182   24.00      0  35        0         0
#> 28    24.00      0  67        1         0
#> 151   24.00      0  42        0         0
#> 17.1  24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 174.1 24.00      0  49        1         0
#> 94.2  24.00      0  51        0         1
#> 198.1 24.00      0  66        0         1
#> 200.2 24.00      0  64        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.530         NA        NA      NA
#> 2 age, Cure model           0.0154        NA        NA      NA
#> 3 grade_ii, Cure model     -0.104         NA        NA      NA
#> 4 grade_iii, Cure model     0.188         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0118        NA        NA      NA
#> 2 grade_ii, Survival model    0.803         NA        NA      NA
#> 3 grade_iii, Survival model   0.425         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.52958           0.01535          -0.10449           0.18769  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.7 
#> Residual Deviance: 256.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.52957583       0.01535231      -0.10449292       0.18769368 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01178161       0.80281286       0.42525954 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8015747433 0.8015747433 0.6841561793 0.4045282769 0.3440773671
#>   [6] 0.4045282769 0.4449785008 0.0046503482 0.6627892224 0.1157092511
#>  [11] 0.9796294537 0.9177675245 0.0886507050 0.8859330778 0.0008845186
#>  [16] 0.9386747731 0.2012894031 0.1427505652 0.5471613719 0.1845239283
#>  [21] 0.0502541806 0.2186810526 0.1248817720 0.4045282769 0.2368035730
#>  [26] 0.6414025622 0.1427505652 0.2735331140 0.7271404793 0.2930909544
#>  [31] 0.5575841486 0.8015747433 0.4449785008 0.0046503482 0.9071286705
#>  [36] 0.2735331140 0.1064137968 0.0118012917 0.5575841486 0.9692835965
#>  [41] 0.0118012917 0.3440773671 0.4449785008 0.5265571841 0.8432681452
#>  [46] 0.9386747731 0.3638111965 0.0886507050 0.6520530078 0.0300703817
#>  [51] 0.7593456544 0.0300703817 0.3231937248 0.1596836762 0.7485705012
#>  [56] 0.4751491860 0.7802925907 0.5265571841 0.6098460546 0.3638111965
#>  [61] 0.7593456544 0.0643421233 0.3839392298 0.8965317212 0.1759950597
#>  [66] 0.4045282769 0.1248817720 0.2930909544 0.0722036573 0.2368035730
#>  [71] 0.5783433891 0.0502541806 0.1845239283 0.2012894031 0.0228628102
#>  [76] 0.4751491860 0.7162388689 0.2368035730 0.8539094335 0.4751491860
#>  [81] 0.7271404793 0.5888152998 0.6841561793 0.0435258576 0.0722036573
#>  [86] 0.6627892224 0.9386747731 0.7802925907 0.8645845517 0.5056703893
#>  [91] 0.2368035730 0.6204253936 0.1596836762 0.8752822414 0.3942175410
#>  [96] 0.8015747433 0.9796294537 0.2186810526 0.2930909544 0.6204253936
#> [101] 0.6841561793 0.5888152998 0.3336997487 0.5160772594 0.9177675245
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    37  37.1    13    45    40  45.1   106    86    57   153    25   149   175 
#> 12.52 12.52 14.34 17.42 18.00 17.42 16.67 23.81 14.46 21.33  6.32  8.37 21.91 
#>   187    78    70   166    32   188   158    15   105    99  45.2    55   157 
#>  9.92 23.88  7.38 19.98 20.90 16.16 20.14 22.68 19.75 21.19 17.42 19.34 15.10 
#>  32.1   179   123    88    26  37.2 106.1  86.1    16 179.1   197   168  26.1 
#> 20.90 18.63 13.00 18.37 15.77 12.52 16.67 23.81  8.71 18.63 21.60 23.72 15.77 
#>    77 168.1  40.1 106.2    79    42  70.1   184 175.1   133    92   154  92.1 
#>  7.27 23.72 18.00 16.67 16.23 12.43  7.38 17.77 21.91 14.65 22.92 12.63 22.92 
#>    51   190   140   130   177  79.1   167 184.1 154.1   169   110   183   150 
#> 18.23 20.81 12.68 16.47 12.53 16.23 15.55 17.77 12.63 22.41 17.56  9.24 20.33 
#>  45.3    36  88.1    66    58   125  15.1 158.1 166.1   164 130.1   155  55.1 
#> 17.42 21.19 18.37 22.13 19.34 15.65 22.68 20.14 19.98 23.60 16.47 13.08 19.34 
#>    43 130.2 123.1     6  13.1    63  66.1  57.1  70.2 177.1    52   181  58.1 
#> 12.10 16.47 13.00 15.64 14.34 22.77 22.13 14.46  7.38 12.53 10.42 16.46 19.34 
#>    29 190.1   101   111  37.3  25.1 105.1  88.2  29.1  13.2   6.1    41    85 
#> 15.45 20.81  9.97 17.45 12.52  6.32 19.75 18.37 15.45 14.34 15.64 18.02 16.44 
#> 149.1   137   196   138    53   178   103     9    80   193    71    34   161 
#>  8.37 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   116  71.1   121   200    17    20    35     3  19.1    72   132    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   185    62    31 137.1  31.1   191   165   131   102    54    84    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173 200.1    47    27  38.1 137.2 165.1  54.1   9.1   141  47.1   174 137.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1   104   135    98  34.1  38.2  80.1 137.4 103.1  98.1   119  27.1   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.2 191.1    21   126    33   146 103.2   118     7    11   182    28   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1    48 151.1 174.1  94.2 198.1 200.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[5]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001060423               0.528410939               0.495688969 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.72591954              0.02732553              0.85970175 
#>   grade_iii, Cure model 
#>              1.03976069 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 76    19.22      1  54        0         1
#> 123   13.00      1  44        1         0
#> 26    15.77      1  49        0         1
#> 30    17.43      1  78        0         0
#> 199   19.81      1  NA        0         1
#> 30.1  17.43      1  78        0         0
#> 69    23.23      1  25        0         1
#> 39    15.59      1  37        0         1
#> 36    21.19      1  48        0         1
#> 57    14.46      1  45        0         1
#> 32    20.90      1  37        1         0
#> 117   17.46      1  26        0         1
#> 197   21.60      1  69        1         0
#> 177   12.53      1  75        0         0
#> 41    18.02      1  40        1         0
#> 199.1 19.81      1  NA        0         1
#> 100   16.07      1  60        0         0
#> 97    19.14      1  65        0         1
#> 43    12.10      1  61        0         1
#> 105   19.75      1  60        0         0
#> 183    9.24      1  67        1         0
#> 157   15.10      1  47        0         0
#> 41.1  18.02      1  40        1         0
#> 192   16.44      1  31        1         0
#> 88    18.37      1  47        0         0
#> 136   21.83      1  43        0         1
#> 192.1 16.44      1  31        1         0
#> 153   21.33      1  55        1         0
#> 50    10.02      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 171   16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 164   23.60      1  76        0         1
#> 140   12.68      1  59        1         0
#> 110   17.56      1  65        0         1
#> 6     15.64      1  39        0         0
#> 197.1 21.60      1  69        1         0
#> 192.2 16.44      1  31        1         0
#> 107   11.18      1  54        1         0
#> 60    13.15      1  38        1         0
#> 50.1  10.02      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 158   20.14      1  74        1         0
#> 190   20.81      1  42        1         0
#> 23    16.92      1  61        0         0
#> 153.1 21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 63    22.77      1  31        1         0
#> 4     17.64      1  NA        0         1
#> 154   12.63      1  20        1         0
#> 91     5.33      1  61        0         1
#> 110.1 17.56      1  65        0         1
#> 117.1 17.46      1  26        0         1
#> 41.2  18.02      1  40        1         0
#> 129   23.41      1  53        1         0
#> 52    10.42      1  52        0         1
#> 79    16.23      1  54        1         0
#> 78    23.88      1  43        0         0
#> 164.1 23.60      1  76        0         1
#> 188   16.16      1  46        0         1
#> 175   21.91      1  43        0         0
#> 13    14.34      1  54        0         1
#> 77     7.27      1  67        0         1
#> 57.1  14.46      1  45        0         1
#> 13.1  14.34      1  54        0         1
#> 60.1  13.15      1  38        1         0
#> 129.1 23.41      1  53        1         0
#> 114   13.68      1  NA        0         0
#> 140.1 12.68      1  59        1         0
#> 66    22.13      1  53        0         0
#> 188.1 16.16      1  46        0         1
#> 40    18.00      1  28        1         0
#> 18.1  15.21      1  49        1         0
#> 111.1 17.45      1  47        0         1
#> 128   20.35      1  35        0         1
#> 41.3  18.02      1  40        1         0
#> 52.1  10.42      1  52        0         1
#> 15.1  22.68      1  48        0         0
#> 57.2  14.46      1  45        0         1
#> 123.1 13.00      1  44        1         0
#> 99    21.19      1  38        0         1
#> 32.1  20.90      1  37        1         0
#> 155   13.08      1  26        0         0
#> 58    19.34      1  39        0         0
#> 188.2 16.16      1  46        0         1
#> 183.1  9.24      1  67        1         0
#> 76.1  19.22      1  54        0         1
#> 86    23.81      1  58        0         1
#> 128.1 20.35      1  35        0         1
#> 183.2  9.24      1  67        1         0
#> 90    20.94      1  50        0         1
#> 111.2 17.45      1  47        0         1
#> 106   16.67      1  49        1         0
#> 181   16.46      1  45        0         1
#> 77.1   7.27      1  67        0         1
#> 29    15.45      1  68        1         0
#> 70     7.38      1  30        1         0
#> 52.2  10.42      1  52        0         1
#> 78.1  23.88      1  43        0         0
#> 139   21.49      1  63        1         0
#> 134   17.81      1  47        1         0
#> 8     18.43      1  32        0         0
#> 127    3.53      1  62        0         1
#> 90.1  20.94      1  50        0         1
#> 77.2   7.27      1  67        0         1
#> 6.1   15.64      1  39        0         0
#> 85    16.44      1  36        0         0
#> 107.1 11.18      1  54        1         0
#> 111.3 17.45      1  47        0         1
#> 58.1  19.34      1  39        0         0
#> 58.2  19.34      1  39        0         0
#> 15.2  22.68      1  48        0         0
#> 35    24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 160.1 24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 33    24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 200   24.00      0  64        0         0
#> 161   24.00      0  45        0         0
#> 193   24.00      0  45        0         1
#> 82    24.00      0  34        0         0
#> 116   24.00      0  58        0         1
#> 80    24.00      0  41        0         0
#> 80.1  24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 35.1  24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 11    24.00      0  42        0         1
#> 141   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 198   24.00      0  66        0         1
#> 109.1 24.00      0  48        0         0
#> 103.1 24.00      0  56        1         0
#> 165   24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 71    24.00      0  51        0         0
#> 33.1  24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 193.1 24.00      0  45        0         1
#> 48    24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 82.1  24.00      0  34        0         0
#> 38.1  24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 193.2 24.00      0  45        0         1
#> 35.2  24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 119   24.00      0  17        0         0
#> 156   24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 9     24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 121   24.00      0  57        1         0
#> 162   24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 3.1   24.00      0  31        1         0
#> 53.1  24.00      0  32        0         1
#> 28    24.00      0  67        1         0
#> 191   24.00      0  60        0         1
#> 172   24.00      0  41        0         0
#> 84.1  24.00      0  39        0         1
#> 20    24.00      0  46        1         0
#> 64    24.00      0  43        0         0
#> 67    24.00      0  25        0         0
#> 84.2  24.00      0  39        0         1
#> 143   24.00      0  51        0         0
#> 109.2 24.00      0  48        0         0
#> 94    24.00      0  51        0         1
#> 131   24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 38.2  24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 182   24.00      0  35        0         0
#> 182.1 24.00      0  35        0         0
#> 182.2 24.00      0  35        0         0
#> 152.1 24.00      0  36        0         1
#> 147   24.00      0  76        1         0
#> 138.1 24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 3.2   24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 46    24.00      0  71        0         0
#> 172.1 24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 112   24.00      0  61        0         0
#> 44.2  24.00      0  56        0         0
#> 176   24.00      0  43        0         1
#> 137   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 64.1  24.00      0  43        0         0
#> 118   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.73          NA        NA      NA
#> 2 age, Cure model           0.0273        NA        NA      NA
#> 3 grade_ii, Cure model      0.860         NA        NA      NA
#> 4 grade_iii, Cure model     1.04          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00106        NA        NA      NA
#> 2 grade_ii, Survival model   0.528          NA        NA      NA
#> 3 grade_iii, Survival model  0.496          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.72592           0.02733           0.85970           1.03976  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 251 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.72591954       0.02732553       0.85970175       1.03976069 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001060423      0.528410939      0.495688969 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.46151955 0.85823815 0.74148763 0.62487139 0.62487139 0.14864443
#>   [7] 0.76403903 0.32348713 0.80105030 0.36547617 0.57649280 0.26572707
#>  [13] 0.89309615 0.50772650 0.73390623 0.48000016 0.90003845 0.42393189
#>  [19] 0.94075304 0.79367480 0.50772650 0.67312579 0.49847688 0.25290227
#>  [25] 0.67312579 0.30130577 0.77899894 0.65717483 0.59310238 0.08882796
#>  [31] 0.87226434 0.55959260 0.74902599 0.26572707 0.67312579 0.90695203
#>  [37] 0.83695812 0.18937128 0.41441054 0.38540556 0.64099608 0.30130577
#>  [43] 0.16241199 0.17622168 0.88615796 0.98691301 0.55959260 0.57649280
#>  [49] 0.50772650 0.12092525 0.92060172 0.70369227 0.02334948 0.08882796
#>  [55] 0.71141033 0.23969703 0.82263984 0.96730844 0.80105030 0.82263984
#>  [61] 0.83695812 0.12092525 0.87226434 0.22652431 0.71141033 0.54219821
#>  [67] 0.77899894 0.59310238 0.39534056 0.50772650 0.92060172 0.18937128
#>  [73] 0.80105030 0.85823815 0.32348713 0.36547617 0.85112392 0.43346646
#>  [79] 0.71141033 0.94075304 0.46151955 0.06650177 0.39534056 0.94075304
#>  [85] 0.34483712 0.59310238 0.64911622 0.66517733 0.96730844 0.77153995
#>  [91] 0.96065713 0.92060172 0.02334948 0.28947070 0.55093753 0.48923561
#>  [97] 0.99346808 0.34483712 0.96730844 0.74902599 0.67312579 0.90695203
#> [103] 0.59310238 0.43346646 0.43346646 0.18937128 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    76   123    26    30  30.1    69    39    36    57    32   117   197   177 
#> 19.22 13.00 15.77 17.43 17.43 23.23 15.59 21.19 14.46 20.90 17.46 21.60 12.53 
#>    41   100    97    43   105   183   157  41.1   192    88   136 192.1   153 
#> 18.02 16.07 19.14 12.10 19.75  9.24 15.10 18.02 16.44 18.37 21.83 16.44 21.33 
#>    18   171   111   164   140   110     6 197.1 192.2   107    60    15   158 
#> 15.21 16.57 17.45 23.60 12.68 17.56 15.64 21.60 16.44 11.18 13.15 22.68 20.14 
#>   190    23 153.1   113    63   154    91 110.1 117.1  41.2   129    52    79 
#> 20.81 16.92 21.33 22.86 22.77 12.63  5.33 17.56 17.46 18.02 23.41 10.42 16.23 
#>    78 164.1   188   175    13    77  57.1  13.1  60.1 129.1 140.1    66 188.1 
#> 23.88 23.60 16.16 21.91 14.34  7.27 14.46 14.34 13.15 23.41 12.68 22.13 16.16 
#>    40  18.1 111.1   128  41.3  52.1  15.1  57.2 123.1    99  32.1   155    58 
#> 18.00 15.21 17.45 20.35 18.02 10.42 22.68 14.46 13.00 21.19 20.90 13.08 19.34 
#> 188.2 183.1  76.1    86 128.1 183.2    90 111.2   106   181  77.1    29    70 
#> 16.16  9.24 19.22 23.81 20.35  9.24 20.94 17.45 16.67 16.46  7.27 15.45  7.38 
#>  52.2  78.1   139   134     8   127  90.1  77.2   6.1    85 107.1 111.3  58.1 
#> 10.42 23.88 21.49 17.81 18.43  3.53 20.94  7.27 15.64 16.44 11.18 17.45 19.34 
#>  58.2  15.2    35   160    75 160.1   103    33    84   200   161   193    82 
#> 19.34 22.68 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    80  80.1   185  35.1    44    11   141   109   152   173   198 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1   165   151    71  33.1    53 193.1    48    38    31  82.1  38.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.2  35.2    95     3   119   156    27    87     9  44.1   121   162   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1  53.1    28   191   172  84.1    20    64    67  84.2   143 109.2    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131     7  38.2 198.1   182 182.1 182.2 152.1   147 138.1 162.1   3.2 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46 172.1    17    98   112  44.2   176   137    47  64.1   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[6]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01700361                0.50580602                0.42047118 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.73996586              0.01496762             -0.15741588 
#>   grade_iii, Cure model 
#>              0.76963970 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 52    10.42      1  52        0         1
#> 128   20.35      1  35        0         1
#> 183    9.24      1  67        1         0
#> 61    10.12      1  36        0         1
#> 36    21.19      1  48        0         1
#> 195   11.76      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 110   17.56      1  65        0         1
#> 123   13.00      1  44        1         0
#> 154   12.63      1  20        1         0
#> 99    21.19      1  38        0         1
#> 129   23.41      1  53        1         0
#> 154.1 12.63      1  20        1         0
#> 8     18.43      1  32        0         0
#> 180   14.82      1  37        0         0
#> 81    14.06      1  34        0         0
#> 127    3.53      1  62        0         1
#> 168   23.72      1  70        0         0
#> 127.1  3.53      1  62        0         1
#> 140   12.68      1  59        1         0
#> 111   17.45      1  47        0         1
#> 89    11.44      1  NA        0         0
#> 88    18.37      1  47        0         0
#> 140.1 12.68      1  59        1         0
#> 192   16.44      1  31        1         0
#> 150   20.33      1  48        0         0
#> 108   18.29      1  39        0         1
#> 171   16.57      1  41        0         1
#> 55    19.34      1  69        0         1
#> 93    10.33      1  52        0         1
#> 167   15.55      1  56        1         0
#> 100   16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 29    15.45      1  68        1         0
#> 175   21.91      1  43        0         0
#> 149    8.37      1  33        1         0
#> 61.1  10.12      1  36        0         1
#> 100.1 16.07      1  60        0         0
#> 70     7.38      1  30        1         0
#> 55.1  19.34      1  69        0         1
#> 42    12.43      1  49        0         1
#> 97    19.14      1  65        0         1
#> 45    17.42      1  54        0         1
#> 155   13.08      1  26        0         0
#> 157   15.10      1  47        0         0
#> 123.1 13.00      1  44        1         0
#> 188   16.16      1  46        0         1
#> 36.1  21.19      1  48        0         1
#> 99.1  21.19      1  38        0         1
#> 66    22.13      1  53        0         0
#> 130   16.47      1  53        0         1
#> 153   21.33      1  55        1         0
#> 25     6.32      1  34        1         0
#> 55.2  19.34      1  69        0         1
#> 167.1 15.55      1  56        1         0
#> 171.1 16.57      1  41        0         1
#> 164   23.60      1  76        0         1
#> 50    10.02      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 4.1   17.64      1  NA        0         1
#> 61.2  10.12      1  36        0         1
#> 169   22.41      1  46        0         0
#> 92    22.92      1  47        0         1
#> 145   10.07      1  65        1         0
#> 93.1  10.33      1  52        0         1
#> 25.1   6.32      1  34        1         0
#> 110.1 17.56      1  65        0         1
#> 43    12.10      1  61        0         1
#> 63    22.77      1  31        1         0
#> 100.2 16.07      1  60        0         0
#> 68    20.62      1  44        0         0
#> 195.1 11.76      1  NA        1         0
#> 81.1  14.06      1  34        0         0
#> 101    9.97      1  10        0         1
#> 170   19.54      1  43        0         1
#> 188.1 16.16      1  46        0         1
#> 129.1 23.41      1  53        1         0
#> 153.1 21.33      1  55        1         0
#> 49    12.19      1  48        1         0
#> 77     7.27      1  67        0         1
#> 179   18.63      1  42        0         0
#> 78    23.88      1  43        0         0
#> 130.1 16.47      1  53        0         1
#> 166   19.98      1  48        0         0
#> 154.2 12.63      1  20        1         0
#> 157.1 15.10      1  47        0         0
#> 153.2 21.33      1  55        1         0
#> 105   19.75      1  60        0         0
#> 184   17.77      1  38        0         0
#> 153.3 21.33      1  55        1         0
#> 91     5.33      1  61        0         1
#> 89.1  11.44      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 140.2 12.68      1  59        1         0
#> 150.1 20.33      1  48        0         0
#> 57    14.46      1  45        0         1
#> 39    15.59      1  37        0         1
#> 90    20.94      1  50        0         1
#> 93.2  10.33      1  52        0         1
#> 52.1  10.42      1  52        0         1
#> 194   22.40      1  38        0         1
#> 117.1 17.46      1  26        0         1
#> 55.3  19.34      1  69        0         1
#> 91.1   5.33      1  61        0         1
#> 25.2   6.32      1  34        1         0
#> 16     8.71      1  71        0         1
#> 195.2 11.76      1  NA        1         0
#> 180.1 14.82      1  37        0         0
#> 136   21.83      1  43        0         1
#> 164.1 23.60      1  76        0         1
#> 166.1 19.98      1  48        0         0
#> 98    24.00      0  34        1         0
#> 148   24.00      0  61        1         0
#> 126   24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 196   24.00      0  19        0         0
#> 64    24.00      0  43        0         0
#> 95    24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 151   24.00      0  42        0         0
#> 98.1  24.00      0  34        1         0
#> 47    24.00      0  38        0         1
#> 17    24.00      0  38        0         1
#> 121.1 24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 126.1 24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 94    24.00      0  51        0         1
#> 178   24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 138   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 21.1  24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 47.1  24.00      0  38        0         1
#> 3     24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 83    24.00      0   6        0         0
#> 72.1  24.00      0  40        0         1
#> 191   24.00      0  60        0         1
#> 87    24.00      0  27        0         0
#> 17.1  24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 19.1  24.00      0  57        0         1
#> 1     24.00      0  23        1         0
#> 176.1 24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 138.1 24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 138.2 24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 186   24.00      0  45        1         0
#> 1.2   24.00      0  23        1         0
#> 162   24.00      0  51        0         0
#> 33.1  24.00      0  53        0         0
#> 161   24.00      0  45        0         0
#> 102   24.00      0  49        0         0
#> 160   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 141.1 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 116   24.00      0  58        0         1
#> 103   24.00      0  56        1         0
#> 142.1 24.00      0  53        0         0
#> 75.1  24.00      0  21        1         0
#> 137   24.00      0  45        1         0
#> 144.1 24.00      0  28        0         1
#> 126.2 24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 71.1  24.00      0  51        0         0
#> 47.2  24.00      0  38        0         1
#> 132   24.00      0  55        0         0
#> 112   24.00      0  61        0         0
#> 116.1 24.00      0  58        0         1
#> 54.1  24.00      0  53        1         0
#> 160.1 24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 172.1 24.00      0  41        0         0
#> 156.2 24.00      0  50        1         0
#> 82    24.00      0  34        0         0
#> 161.1 24.00      0  45        0         0
#> 198.1 24.00      0  66        0         1
#> 65.1  24.00      0  57        1         0
#> 62    24.00      0  71        0         0
#> 72.2  24.00      0  40        0         1
#> 119   24.00      0  17        0         0
#> 1.3   24.00      0  23        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.740         NA        NA      NA
#> 2 age, Cure model           0.0150        NA        NA      NA
#> 3 grade_ii, Cure model     -0.157         NA        NA      NA
#> 4 grade_iii, Cure model     0.770         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0170        NA        NA      NA
#> 2 grade_ii, Survival model    0.506         NA        NA      NA
#> 3 grade_iii, Survival model   0.420         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.73997           0.01497          -0.15742           0.76964  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 252.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.73996586       0.01496762      -0.15741588       0.76963970 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01700361       0.50580602       0.42047118 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 6.914696e-01 8.625296e-02 8.280727e-01 7.589801e-01 5.500210e-02
#>   [6] 3.821503e-01 2.223637e-01 5.489128e-01 6.133054e-01 5.500210e-02
#>  [11] 5.168291e-03 6.133054e-01 1.782050e-01 4.743117e-01 5.110716e-01
#>  [16] 9.706340e-01 4.216138e-04 9.706340e-01 5.744395e-01 2.599274e-01
#>  [21] 1.952306e-01 5.744395e-01 3.192172e-01 9.219185e-02 2.041567e-01
#>  [26] 2.794415e-01 1.320307e-01 7.182897e-01 4.045850e-01 3.500043e-01
#>  [31] 2.411296e-01 4.272143e-01 2.796657e-02 8.563743e-01 7.589801e-01
#>  [36] 3.500043e-01 8.706027e-01 1.320307e-01 6.517333e-01 1.616481e-01
#>  [41] 2.696152e-01 5.361271e-01 4.505362e-01 5.489128e-01 3.294584e-01
#>  [46] 5.500210e-02 5.500210e-02 2.385814e-02 2.990769e-01 3.703243e-02
#>  [51] 8.991796e-01 1.320307e-01 4.045850e-01 2.794415e-01 1.505934e-03
#>  [56] 1.782050e-01 7.589801e-01 1.654051e-02 1.013739e-02 8.000550e-01
#>  [61] 7.182897e-01 8.991796e-01 2.223637e-01 6.781210e-01 1.332899e-02
#>  [66] 3.500043e-01 8.037902e-02 5.110716e-01 8.140981e-01 1.248490e-01
#>  [71] 3.294584e-01 5.168291e-03 3.703243e-02 6.648922e-01 8.848320e-01
#>  [76] 1.698236e-01 5.280525e-05 2.990769e-01 1.045475e-01 6.133054e-01
#>  [81] 4.505362e-01 3.703243e-02 1.177761e-01 2.131677e-01 3.703243e-02
#>  [86] 9.416792e-01 4.388320e-01 5.744395e-01 9.219185e-02 4.986571e-01
#>  [91] 3.933376e-01 7.472289e-02 7.182897e-01 6.914696e-01 2.013144e-02
#>  [96] 2.411296e-01 1.320307e-01 9.416792e-01 8.991796e-01 8.421587e-01
#> [101] 4.743117e-01 3.241451e-02 1.505934e-03 1.045475e-01 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00
#> 
#> $Time
#>    52   128   183    61    36     6   110   123   154    99   129 154.1     8 
#> 10.42 20.35  9.24 10.12 21.19 15.64 17.56 13.00 12.63 21.19 23.41 12.63 18.43 
#>   180    81   127   168 127.1   140   111    88 140.1   192   150   108   171 
#> 14.82 14.06  3.53 23.72  3.53 12.68 17.45 18.37 12.68 16.44 20.33 18.29 16.57 
#>    55    93   167   100   117    29   175   149  61.1 100.1    70  55.1    42 
#> 19.34 10.33 15.55 16.07 17.46 15.45 21.91  8.37 10.12 16.07  7.38 19.34 12.43 
#>    97    45   155   157 123.1   188  36.1  99.1    66   130   153    25  55.2 
#> 19.14 17.42 13.08 15.10 13.00 16.16 21.19 21.19 22.13 16.47 21.33  6.32 19.34 
#> 167.1 171.1   164   8.1  61.2   169    92   145  93.1  25.1 110.1    43    63 
#> 15.55 16.57 23.60 18.43 10.12 22.41 22.92 10.07 10.33  6.32 17.56 12.10 22.77 
#> 100.2    68  81.1   101   170 188.1 129.1 153.1    49    77   179    78 130.1 
#> 16.07 20.62 14.06  9.97 19.54 16.16 23.41 21.33 12.19  7.27 18.63 23.88 16.47 
#>   166 154.2 157.1 153.2   105   184 153.3    91    18 140.2 150.1    57    39 
#> 19.98 12.63 15.10 21.33 19.75 17.77 21.33  5.33 15.21 12.68 20.33 14.46 15.59 
#>    90  93.2  52.1   194 117.1  55.3  91.1  25.2    16 180.1   136 164.1 166.1 
#> 20.94 10.33 10.42 22.40 17.46 19.34  5.33  6.32  8.71 14.82 21.83 23.60 19.98 
#>    98   148   126    65    28   196    64    95   121    74   151  98.1    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17 121.1   118   131    72 126.1    21   176    94   178    71   144    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172   142   173   138   104  21.1   146  47.1     3    75    83  72.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87  17.1   141    19  19.1     1 176.1     2 138.1   1.1 138.2    54   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.2   162  33.1   161   102   160   156 141.1   135   116   103 142.1  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137 144.1 126.2   198  71.1  47.2   132   112 116.1  54.1 160.1 156.1 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2    82 161.1 198.1  65.1    62  72.2   119   1.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[7]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006891884               0.608821551               0.368767254 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.57361881              0.01518465             -0.06240258 
#>   grade_iii, Cure model 
#>              0.33216619 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 37    12.52      1  57        1         0
#> 91     5.33      1  61        0         1
#> 32    20.90      1  37        1         0
#> 37.1  12.52      1  57        1         0
#> 158   20.14      1  74        1         0
#> 110   17.56      1  65        0         1
#> 133   14.65      1  57        0         0
#> 128   20.35      1  35        0         1
#> 168   23.72      1  70        0         0
#> 6     15.64      1  39        0         0
#> 77     7.27      1  67        0         1
#> 90    20.94      1  50        0         1
#> 134   17.81      1  47        1         0
#> 96    14.54      1  33        0         1
#> 90.1  20.94      1  50        0         1
#> 101    9.97      1  10        0         1
#> 60    13.15      1  38        1         0
#> 15    22.68      1  48        0         0
#> 168.1 23.72      1  70        0         0
#> 37.2  12.52      1  57        1         0
#> 70     7.38      1  30        1         0
#> 6.1   15.64      1  39        0         0
#> 177   12.53      1  75        0         0
#> 188   16.16      1  46        0         1
#> 190   20.81      1  42        1         0
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 49    12.19      1  48        1         0
#> 106   16.67      1  49        1         0
#> 106.1 16.67      1  49        1         0
#> 40    18.00      1  28        1         0
#> 97    19.14      1  65        0         1
#> 14    12.89      1  21        0         0
#> 145   10.07      1  65        1         0
#> 13    14.34      1  54        0         1
#> 69    23.23      1  25        0         1
#> 125   15.65      1  67        1         0
#> 23    16.92      1  61        0         0
#> 30    17.43      1  78        0         0
#> 50    10.02      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 79    16.23      1  54        1         0
#> 177.2 12.53      1  75        0         0
#> 5     16.43      1  51        0         1
#> 50.1  10.02      1  NA        1         0
#> 13.1  14.34      1  54        0         1
#> 99    21.19      1  38        0         1
#> 187    9.92      1  39        1         0
#> 85    16.44      1  36        0         0
#> 101.1  9.97      1  10        0         1
#> 194   22.40      1  38        0         1
#> 149    8.37      1  33        1         0
#> 123   13.00      1  44        1         0
#> 194.1 22.40      1  38        0         1
#> 100   16.07      1  60        0         0
#> 30.1  17.43      1  78        0         0
#> 157   15.10      1  47        0         0
#> 8     18.43      1  32        0         0
#> 195   11.76      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 60.1  13.15      1  38        1         0
#> 158.1 20.14      1  74        1         0
#> 169   22.41      1  46        0         0
#> 58    19.34      1  39        0         0
#> 5.1   16.43      1  51        0         1
#> 41    18.02      1  40        1         0
#> 51    18.23      1  83        0         1
#> 145.1 10.07      1  65        1         0
#> 113   22.86      1  34        0         0
#> 125.1 15.65      1  67        1         0
#> 18    15.21      1  49        1         0
#> 188.1 16.16      1  46        0         1
#> 40.1  18.00      1  28        1         0
#> 108   18.29      1  39        0         1
#> 23.1  16.92      1  61        0         0
#> 23.2  16.92      1  61        0         0
#> 88    18.37      1  47        0         0
#> 42    12.43      1  49        0         1
#> 61    10.12      1  36        0         1
#> 155   13.08      1  26        0         0
#> 167   15.55      1  56        1         0
#> 188.2 16.16      1  46        0         1
#> 63    22.77      1  31        1         0
#> 18.1  15.21      1  49        1         0
#> 79.2  16.23      1  54        1         0
#> 145.2 10.07      1  65        1         0
#> 50.2  10.02      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 180   14.82      1  37        0         0
#> 16     8.71      1  71        0         1
#> 157.1 15.10      1  47        0         0
#> 10    10.53      1  34        0         0
#> 30.2  17.43      1  78        0         0
#> 168.2 23.72      1  70        0         0
#> 85.1  16.44      1  36        0         0
#> 197   21.60      1  69        1         0
#> 26    15.77      1  49        0         1
#> 68.1  20.62      1  44        0         0
#> 127    3.53      1  62        0         1
#> 130   16.47      1  53        0         1
#> 171   16.57      1  41        0         1
#> 158.2 20.14      1  74        1         0
#> 79.3  16.23      1  54        1         0
#> 25     6.32      1  34        1         0
#> 154   12.63      1  20        1         0
#> 81    14.06      1  34        0         0
#> 169.1 22.41      1  46        0         0
#> 70.1   7.38      1  30        1         0
#> 30.3  17.43      1  78        0         0
#> 81.1  14.06      1  34        0         0
#> 61.1  10.12      1  36        0         1
#> 168.3 23.72      1  70        0         0
#> 80    24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 47    24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 35    24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 135   24.00      0  58        1         0
#> 28    24.00      0  67        1         0
#> 67    24.00      0  25        0         0
#> 53    24.00      0  32        0         1
#> 9     24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 156   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 147   24.00      0  76        1         0
#> 156.1 24.00      0  50        1         0
#> 35.2  24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 186   24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 148   24.00      0  61        1         0
#> 152   24.00      0  36        0         1
#> 121   24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 67.2  24.00      0  25        0         0
#> 176   24.00      0  43        0         1
#> 141.1 24.00      0  44        1         0
#> 67.3  24.00      0  25        0         0
#> 2     24.00      0   9        0         0
#> 17    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 67.4  24.00      0  25        0         0
#> 115   24.00      0  NA        1         0
#> 182   24.00      0  35        0         0
#> 12    24.00      0  63        0         0
#> 174   24.00      0  49        1         0
#> 46    24.00      0  71        0         0
#> 17.1  24.00      0  38        0         1
#> 148.1 24.00      0  61        1         0
#> 75    24.00      0  21        1         0
#> 156.2 24.00      0  50        1         0
#> 141.2 24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 67.5  24.00      0  25        0         0
#> 178   24.00      0  52        1         0
#> 182.1 24.00      0  35        0         0
#> 71.1  24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 28.1  24.00      0  67        1         0
#> 186.1 24.00      0  45        1         0
#> 67.6  24.00      0  25        0         0
#> 65.1  24.00      0  57        1         0
#> 120   24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 94    24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 196   24.00      0  19        0         0
#> 21.1  24.00      0  47        0         0
#> 2.1   24.00      0   9        0         0
#> 53.1  24.00      0  32        0         1
#> 138.1 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 80.2  24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 191.1 24.00      0  60        0         1
#> 174.1 24.00      0  49        1         0
#> 95.1  24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 137   24.00      0  45        1         0
#> 176.1 24.00      0  43        0         1
#> 65.2  24.00      0  57        1         0
#> 121.1 24.00      0  57        1         0
#> 75.1  24.00      0  21        1         0
#> 118   24.00      0  44        1         0
#> 138.2 24.00      0  44        1         0
#> 72.1  24.00      0  40        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.574         NA        NA      NA
#> 2 age, Cure model           0.0152        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0624        NA        NA      NA
#> 4 grade_iii, Cure model     0.332         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00689        NA        NA      NA
#> 2 grade_ii, Survival model   0.609          NA        NA      NA
#> 3 grade_iii, Survival model  0.369          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.57362           0.01518          -0.06240           0.33217  
#> 
#> Degrees of Freedom: 194 Total (i.e. Null);  191 Residual
#> Null Deviance:	    268.1 
#> Residual Deviance: 264.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.57361881       0.01518465      -0.06240258       0.33216619 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006891884      0.608821551      0.368767254 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.798546957 0.981986446 0.146334451 0.798546957 0.192608690 0.321916192
#>   [7] 0.658090067 0.183251763 0.006125773 0.574045548 0.963947877 0.127680699
#>  [13] 0.312834533 0.667539448 0.127680699 0.900265335 0.714531911 0.060031671
#>  [19] 0.006125773 0.798546957 0.945970973 0.574045548 0.770579258 0.508938066
#>  [25] 0.155716966 0.592787387 0.164891711 0.835627226 0.396050635 0.396050635
#>  [31] 0.294764536 0.237644819 0.751910956 0.872791044 0.676968570 0.030954372
#>  [37] 0.555446867 0.367553680 0.331017419 0.770579258 0.472310686 0.770579258
#>  [43] 0.453225116 0.676968570 0.117952271 0.918545284 0.434125647 0.900265335
#>  [49] 0.089153433 0.936853249 0.742558086 0.089153433 0.536583868 0.331017419
#>  [55] 0.630070228 0.247058438 0.472310686 0.714531911 0.192608690 0.069725489
#>  [61] 0.228259556 0.453225116 0.285282382 0.275674010 0.872791044 0.040601086
#>  [67] 0.555446867 0.611606850 0.508938066 0.294764536 0.266126870 0.367553680
#>  [73] 0.367553680 0.256543621 0.826280609 0.854275184 0.733162924 0.602215471
#>  [79] 0.508938066 0.050761714 0.611606850 0.472310686 0.872791044 0.218964410
#>  [85] 0.648684559 0.927694137 0.630070228 0.844940458 0.331017419 0.006125773
#>  [91] 0.434125647 0.108133010 0.546017935 0.164891711 0.990990896 0.424562054
#>  [97] 0.414997716 0.192608690 0.472310686 0.972986150 0.761279529 0.695697269
#> [103] 0.069725489 0.945970973 0.331017419 0.695697269 0.854275184 0.006125773
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    37    91    32  37.1   158   110   133   128   168     6    77    90   134 
#> 12.52  5.33 20.90 12.52 20.14 17.56 14.65 20.35 23.72 15.64  7.27 20.94 17.81 
#>    96  90.1   101    60    15 168.1  37.2    70   6.1   177   188   190    39 
#> 14.54 20.94  9.97 13.15 22.68 23.72 12.52  7.38 15.64 12.53 16.16 20.81 15.59 
#>    68    49   106 106.1    40    97    14   145    13    69   125    23    30 
#> 20.62 12.19 16.67 16.67 18.00 19.14 12.89 10.07 14.34 23.23 15.65 16.92 17.43 
#> 177.1    79 177.2     5  13.1    99   187    85 101.1   194   149   123 194.1 
#> 12.53 16.23 12.53 16.43 14.34 21.19  9.92 16.44  9.97 22.40  8.37 13.00 22.40 
#>   100  30.1   157     8  79.1  60.1 158.1   169    58   5.1    41    51 145.1 
#> 16.07 17.43 15.10 18.43 16.23 13.15 20.14 22.41 19.34 16.43 18.02 18.23 10.07 
#>   113 125.1    18 188.1  40.1   108  23.1  23.2    88    42    61   155   167 
#> 22.86 15.65 15.21 16.16 18.00 18.29 16.92 16.92 18.37 12.43 10.12 13.08 15.55 
#> 188.2    63  18.1  79.2 145.2   105   180    16 157.1    10  30.2 168.2  85.1 
#> 16.16 22.77 15.21 16.23 10.07 19.75 14.82  8.71 15.10 10.53 17.43 23.72 16.44 
#>   197    26  68.1   127   130   171 158.2  79.3    25   154    81 169.1  70.1 
#> 21.60 15.77 20.62  3.53 16.47 16.57 20.14 16.23  6.32 12.63 14.06 22.41  7.38 
#>  30.3  81.1  61.1 168.3    80   193    47    21   191    35    19   135    28 
#> 17.43 14.06 10.12 23.72 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    53     9  35.1  67.1   156   103   147 156.1  35.2   142   132   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71    65   109   141    20   148   152   121    48 135.1  67.2   176 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.3     2    17    44  67.4   182    12   174    46  17.1 148.1    75 156.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2   162   138    72  67.5   178 182.1  71.1  80.1   165  28.1 186.1  67.6 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1   120   112    94   198   196  21.1   2.1  53.1 138.1    74    64  80.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 191.1 174.1  95.1   200   137 176.1  65.2 121.1  75.1   118 138.2  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[8]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003074817               0.883949755               0.575888582 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.028121948            -0.003738249             0.414524911 
#>   grade_iii, Cure model 
#>             0.742302893 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 106   16.67      1  49        1         0
#> 88    18.37      1  47        0         0
#> 8     18.43      1  32        0         0
#> 169   22.41      1  46        0         0
#> 77     7.27      1  67        0         1
#> 111   17.45      1  47        0         1
#> 91     5.33      1  61        0         1
#> 60    13.15      1  38        1         0
#> 177   12.53      1  75        0         0
#> 32    20.90      1  37        1         0
#> 79    16.23      1  54        1         0
#> 89    11.44      1  NA        0         0
#> 70     7.38      1  30        1         0
#> 149    8.37      1  33        1         0
#> 30    17.43      1  78        0         0
#> 55    19.34      1  69        0         1
#> 56    12.21      1  60        0         0
#> 113   22.86      1  34        0         0
#> 100   16.07      1  60        0         0
#> 49    12.19      1  48        1         0
#> 61    10.12      1  36        0         1
#> 6     15.64      1  39        0         0
#> 24    23.89      1  38        0         0
#> 63    22.77      1  31        1         0
#> 25     6.32      1  34        1         0
#> 43    12.10      1  61        0         1
#> 49.1  12.19      1  48        1         0
#> 61.1  10.12      1  36        0         1
#> 61.2  10.12      1  36        0         1
#> 79.1  16.23      1  54        1         0
#> 106.1 16.67      1  49        1         0
#> 150   20.33      1  48        0         0
#> 110   17.56      1  65        0         1
#> 89.1  11.44      1  NA        0         0
#> 101    9.97      1  10        0         1
#> 181   16.46      1  45        0         1
#> 107   11.18      1  54        1         0
#> 99    21.19      1  38        0         1
#> 23    16.92      1  61        0         0
#> 60.1  13.15      1  38        1         0
#> 60.2  13.15      1  38        1         0
#> 85    16.44      1  36        0         0
#> 26    15.77      1  49        0         1
#> 24.1  23.89      1  38        0         0
#> 70.1   7.38      1  30        1         0
#> 40    18.00      1  28        1         0
#> 55.1  19.34      1  69        0         1
#> 5     16.43      1  51        0         1
#> 111.1 17.45      1  47        0         1
#> 93    10.33      1  52        0         1
#> 125   15.65      1  67        1         0
#> 179   18.63      1  42        0         0
#> 107.1 11.18      1  54        1         0
#> 69    23.23      1  25        0         1
#> 88.1  18.37      1  47        0         0
#> 195   11.76      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 90    20.94      1  50        0         1
#> 164   23.60      1  76        0         1
#> 89.2  11.44      1  NA        0         0
#> 77.1   7.27      1  67        0         1
#> 175   21.91      1  43        0         0
#> 157   15.10      1  47        0         0
#> 25.1   6.32      1  34        1         0
#> 92    22.92      1  47        0         1
#> 154   12.63      1  20        1         0
#> 125.1 15.65      1  67        1         0
#> 154.1 12.63      1  20        1         0
#> 24.2  23.89      1  38        0         0
#> 81    14.06      1  34        0         0
#> 40.1  18.00      1  28        1         0
#> 199   19.81      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 37    12.52      1  57        1         0
#> 166   19.98      1  48        0         0
#> 177.1 12.53      1  75        0         0
#> 188   16.16      1  46        0         1
#> 30.1  17.43      1  78        0         0
#> 188.1 16.16      1  46        0         1
#> 105   19.75      1  60        0         0
#> 70.2   7.38      1  30        1         0
#> 183    9.24      1  67        1         0
#> 171   16.57      1  41        0         1
#> 4     17.64      1  NA        0         1
#> 153   21.33      1  55        1         0
#> 106.2 16.67      1  49        1         0
#> 93.1  10.33      1  52        0         1
#> 36    21.19      1  48        0         1
#> 181.1 16.46      1  45        0         1
#> 32.1  20.90      1  37        1         0
#> 101.1  9.97      1  10        0         1
#> 42    12.43      1  49        0         1
#> 181.2 16.46      1  45        0         1
#> 15    22.68      1  48        0         0
#> 18    15.21      1  49        1         0
#> 10    10.53      1  34        0         0
#> 25.2   6.32      1  34        1         0
#> 171.1 16.57      1  41        0         1
#> 15.1  22.68      1  48        0         0
#> 78    23.88      1  43        0         0
#> 110.1 17.56      1  65        0         1
#> 63.1  22.77      1  31        1         0
#> 37.1  12.52      1  57        1         0
#> 184.1 17.77      1  38        0         0
#> 180   14.82      1  37        0         0
#> 189   10.51      1  NA        1         0
#> 60.3  13.15      1  38        1         0
#> 96.1  14.54      1  33        0         1
#> 199.1 19.81      1  NA        0         1
#> 4.1   17.64      1  NA        0         1
#> 122   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 87    24.00      0  27        0         0
#> 35    24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 102   24.00      0  49        0         0
#> 191   24.00      0  60        0         1
#> 138   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 135   24.00      0  58        1         0
#> 186   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 102.1 24.00      0  49        0         0
#> 12    24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 28    24.00      0  67        1         0
#> 193   24.00      0  45        0         1
#> 126   24.00      0  48        0         0
#> 120   24.00      0  68        0         1
#> 94    24.00      0  51        0         1
#> 143   24.00      0  51        0         0
#> 122.1 24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 178.1 24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 67    24.00      0  25        0         0
#> 191.1 24.00      0  60        0         1
#> 19    24.00      0  57        0         1
#> 151   24.00      0  42        0         0
#> 74    24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 146   24.00      0  63        1         0
#> 12.2  24.00      0  63        0         0
#> 7.1   24.00      0  37        1         0
#> 22    24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 31.1  24.00      0  36        0         1
#> 172.1 24.00      0  41        0         0
#> 126.1 24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 1     24.00      0  23        1         0
#> 84    24.00      0  39        0         1
#> 33    24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 172.2 24.00      0  41        0         0
#> 138.1 24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 82    24.00      0  34        0         0
#> 1.1   24.00      0  23        1         0
#> 173.1 24.00      0  19        0         1
#> 163.1 24.00      0  66        0         0
#> 74.1  24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 143.1 24.00      0  51        0         0
#> 138.2 24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 182   24.00      0  35        0         0
#> 156.1 24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 138.3 24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 178.2 24.00      0  52        1         0
#> 186.1 24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 102.2 24.00      0  49        0         0
#> 47    24.00      0  38        0         1
#> 80    24.00      0  41        0         0
#> 31.2  24.00      0  36        0         1
#> 196.1 24.00      0  19        0         0
#> 109.1 24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 102.3 24.00      0  49        0         0
#> 83    24.00      0   6        0         0
#> 11    24.00      0  42        0         1
#> 104   24.00      0  50        1         0
#> 95.1  24.00      0  68        0         1
#> 146.1 24.00      0  63        1         0
#> 54.1  24.00      0  53        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0281         NA        NA      NA
#> 2 age, Cure model         -0.00374        NA        NA      NA
#> 3 grade_ii, Cure model     0.415          NA        NA      NA
#> 4 grade_iii, Cure model    0.742          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00307        NA        NA      NA
#> 2 grade_ii, Survival model   0.884          NA        NA      NA
#> 3 grade_iii, Survival model  0.576          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.028122         -0.003738          0.414525          0.742303  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 259.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.028121948     -0.003738249      0.414524911      0.742302893 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003074817      0.883949755      0.575888582 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.32994917 0.62989134 0.51343011 0.50353017 0.31434542 0.97117068
#>   [7] 0.58728161 0.99524186 0.80611239 0.84191940 0.42138108 0.70580796
#>  [13] 0.95635053 0.95125339 0.60438979 0.47391524 0.87087841 0.23205801
#>  [19] 0.73377785 0.87658585 0.92008419 0.76079484 0.05348635 0.25249740
#>  [25] 0.98095773 0.88770306 0.87658585 0.92008419 0.92008419 0.70580796
#>  [31] 0.62989134 0.44234100 0.56963090 0.93574013 0.66880548 0.89323934
#>  [37] 0.38615610 0.62136775 0.80611239 0.80611239 0.69097282 0.74071872
#>  [43] 0.05348635 0.95635053 0.53292345 0.47391524 0.69843295 0.58728161
#>  [49] 0.90943778 0.74759082 0.49361007 0.89323934 0.18841564 0.51343011
#>  [55] 0.78695914 0.35965872 0.40976585 0.16250754 0.97117068 0.34484912
#>  [61] 0.77393985 0.98095773 0.21141962 0.83010555 0.74759082 0.83010555
#>  [67] 0.05348635 0.79971464 0.53292345 0.55131501 0.85369042 0.45290786
#>  [73] 0.84191940 0.71993536 0.60438979 0.71993536 0.46343566 0.95635053
#>  [79] 0.94610998 0.65340941 0.37334561 0.62989134 0.90943778 0.38615610
#>  [85] 0.66880548 0.42138108 0.93574013 0.86516339 0.66880548 0.28368750
#>  [91] 0.76741840 0.90402988 0.98095773 0.65340941 0.28368750 0.13021037
#>  [97] 0.56963090 0.25249740 0.85369042 0.55131501 0.78045277 0.80611239
#> [103] 0.78695914 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   194   106    88     8   169    77   111    91    60   177    32    79    70 
#> 22.40 16.67 18.37 18.43 22.41  7.27 17.45  5.33 13.15 12.53 20.90 16.23  7.38 
#>   149    30    55    56   113   100    49    61     6    24    63    25    43 
#>  8.37 17.43 19.34 12.21 22.86 16.07 12.19 10.12 15.64 23.89 22.77  6.32 12.10 
#>  49.1  61.1  61.2  79.1 106.1   150   110   101   181   107    99    23  60.1 
#> 12.19 10.12 10.12 16.23 16.67 20.33 17.56  9.97 16.46 11.18 21.19 16.92 13.15 
#>  60.2    85    26  24.1  70.1    40  55.1     5 111.1    93   125   179 107.1 
#> 13.15 16.44 15.77 23.89  7.38 18.00 19.34 16.43 17.45 10.33 15.65 18.63 11.18 
#>    69  88.1    96   197    90   164  77.1   175   157  25.1    92   154 125.1 
#> 23.23 18.37 14.54 21.60 20.94 23.60  7.27 21.91 15.10  6.32 22.92 12.63 15.65 
#> 154.1  24.2    81  40.1   184    37   166 177.1   188  30.1 188.1   105  70.2 
#> 12.63 23.89 14.06 18.00 17.77 12.52 19.98 12.53 16.16 17.43 16.16 19.75  7.38 
#>   183   171   153 106.2  93.1    36 181.1  32.1 101.1    42 181.2    15    18 
#>  9.24 16.57 21.33 16.67 10.33 21.19 16.46 20.90  9.97 12.43 16.46 22.68 15.21 
#>    10  25.2 171.1  15.1    78 110.1  63.1  37.1 184.1   180  60.3  96.1   122 
#> 10.53  6.32 16.57 22.68 23.88 17.56 22.77 12.52 17.77 14.82 13.15 14.54 24.00 
#>    53    87    35   196   102   191   138   174   135   186   163    27 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   103   172     7    28   193   126   120    94   143 122.1   178    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1   198    67 191.1    19   151    74  12.1   146  12.2   7.1    22    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1 172.1 126.1    54     1    84    33   173 172.2 138.1   160    46   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131    82   1.1 173.1 163.1  74.1    21   176 143.1 138.2    62   119   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1   118 138.3   121 178.2 186.1   109 102.2    47    80  31.2 196.1 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142     2 102.3    83    11   104  95.1 146.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[9]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01120263                0.57641842                0.27353317 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.9482302               0.0187761              -0.1190052 
#>   grade_iii, Cure model 
#>               1.0454475 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 76    19.22      1  54        0         1
#> 190   20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 129   23.41      1  53        1         0
#> 42    12.43      1  49        0         1
#> 56    12.21      1  60        0         0
#> 51    18.23      1  83        0         1
#> 91     5.33      1  61        0         1
#> 30    17.43      1  78        0         0
#> 189   10.51      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 5     16.43      1  51        0         1
#> 181   16.46      1  45        0         1
#> 180   14.82      1  37        0         0
#> 140   12.68      1  59        1         0
#> 25     6.32      1  34        1         0
#> 177   12.53      1  75        0         0
#> 43    12.10      1  61        0         1
#> 41    18.02      1  40        1         0
#> 36    21.19      1  48        0         1
#> 127    3.53      1  62        0         1
#> 18    15.21      1  49        1         0
#> 175   21.91      1  43        0         0
#> 175.1 21.91      1  43        0         0
#> 128   20.35      1  35        0         1
#> 93    10.33      1  52        0         1
#> 181.1 16.46      1  45        0         1
#> 24    23.89      1  38        0         0
#> 90    20.94      1  50        0         1
#> 139   21.49      1  63        1         0
#> 86    23.81      1  58        0         1
#> 77     7.27      1  67        0         1
#> 51.1  18.23      1  83        0         1
#> 179   18.63      1  42        0         0
#> 181.2 16.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 70     7.38      1  30        1         0
#> 179.1 18.63      1  42        0         0
#> 92    22.92      1  47        0         1
#> 26    15.77      1  49        0         1
#> 5.1   16.43      1  51        0         1
#> 18.1  15.21      1  49        1         0
#> 8     18.43      1  32        0         0
#> 42.1  12.43      1  49        0         1
#> 81    14.06      1  34        0         0
#> 145.1 10.07      1  65        1         0
#> 157   15.10      1  47        0         0
#> 59    10.16      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 153   21.33      1  55        1         0
#> 168   23.72      1  70        0         0
#> 56.1  12.21      1  60        0         0
#> 168.1 23.72      1  70        0         0
#> 13.1  14.34      1  54        0         1
#> 97    19.14      1  65        0         1
#> 85    16.44      1  36        0         0
#> 14    12.89      1  21        0         0
#> 177.1 12.53      1  75        0         0
#> 133   14.65      1  57        0         0
#> 32    20.90      1  37        1         0
#> 25.1   6.32      1  34        1         0
#> 10    10.53      1  34        0         0
#> 43.1  12.10      1  61        0         1
#> 78    23.88      1  43        0         0
#> 136   21.83      1  43        0         1
#> 155   13.08      1  26        0         0
#> 40    18.00      1  28        1         0
#> 168.2 23.72      1  70        0         0
#> 66    22.13      1  53        0         0
#> 88    18.37      1  47        0         0
#> 128.1 20.35      1  35        0         1
#> 195.1 11.76      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 30.1  17.43      1  78        0         0
#> 85.1  16.44      1  36        0         0
#> 99    21.19      1  38        0         1
#> 76.1  19.22      1  54        0         1
#> 158   20.14      1  74        1         0
#> 92.1  22.92      1  47        0         1
#> 66.1  22.13      1  53        0         0
#> 158.1 20.14      1  74        1         0
#> 168.3 23.72      1  70        0         0
#> 134   17.81      1  47        1         0
#> 164   23.60      1  76        0         1
#> 155.1 13.08      1  26        0         0
#> 150   20.33      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 192   16.44      1  31        1         0
#> 106.1 16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 37    12.52      1  57        1         0
#> 70.1   7.38      1  30        1         0
#> 99.1  21.19      1  38        0         1
#> 41.1  18.02      1  40        1         0
#> 117   17.46      1  26        0         1
#> 136.1 21.83      1  43        0         1
#> 197.1 21.60      1  69        1         0
#> 85.2  16.44      1  36        0         0
#> 88.1  18.37      1  47        0         0
#> 18.2  15.21      1  49        1         0
#> 139.1 21.49      1  63        1         0
#> 23    16.92      1  61        0         0
#> 145.2 10.07      1  65        1         0
#> 55    19.34      1  69        0         1
#> 99.2  21.19      1  38        0         1
#> 43.2  12.10      1  61        0         1
#> 41.2  18.02      1  40        1         0
#> 4.1   17.64      1  NA        0         1
#> 92.2  22.92      1  47        0         1
#> 161   24.00      0  45        0         0
#> 104   24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 137   24.00      0  45        1         0
#> 22    24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 80    24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 3     24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 182   24.00      0  35        0         0
#> 2     24.00      0   9        0         0
#> 1     24.00      0  23        1         0
#> 165   24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 67.1  24.00      0  25        0         0
#> 138   24.00      0  44        1         0
#> 185.1 24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 162   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 115   24.00      0  NA        1         0
#> 44    24.00      0  56        0         0
#> 160   24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 161.1 24.00      0  45        0         0
#> 38    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 17    24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 182.1 24.00      0  35        0         0
#> 151   24.00      0  42        0         0
#> 163.1 24.00      0  66        0         0
#> 20.1  24.00      0  46        1         0
#> 174   24.00      0  49        1         0
#> 142   24.00      0  53        0         0
#> 193   24.00      0  45        0         1
#> 176   24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 20.2  24.00      0  46        1         0
#> 137.1 24.00      0  45        1         0
#> 2.1   24.00      0   9        0         0
#> 141   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 173   24.00      0  19        0         1
#> 46.1  24.00      0  71        0         0
#> 144   24.00      0  28        0         1
#> 28    24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 72    24.00      0  40        0         1
#> 191   24.00      0  60        0         1
#> 156   24.00      0  50        1         0
#> 142.1 24.00      0  53        0         0
#> 135.1 24.00      0  58        1         0
#> 148   24.00      0  61        1         0
#> 103   24.00      0  56        1         0
#> 103.1 24.00      0  56        1         0
#> 80.1  24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 83.1  24.00      0   6        0         0
#> 3.1   24.00      0  31        1         0
#> 161.2 24.00      0  45        0         0
#> 65    24.00      0  57        1         0
#> 122.1 24.00      0  66        0         0
#> 75.1  24.00      0  21        1         0
#> 72.1  24.00      0  40        0         1
#> 28.1  24.00      0  67        1         0
#> 46.2  24.00      0  71        0         0
#> 142.2 24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 178   24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 156.1 24.00      0  50        1         0
#> 143.1 24.00      0  51        0         0
#> 67.2  24.00      0  25        0         0
#> 162.1 24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 95.1  24.00      0  68        0         1
#> 31.1  24.00      0  36        0         1
#> 103.2 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.948         NA        NA      NA
#> 2 age, Cure model           0.0188        NA        NA      NA
#> 3 grade_ii, Cure model     -0.119         NA        NA      NA
#> 4 grade_iii, Cure model     1.05          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0112        NA        NA      NA
#> 2 grade_ii, Survival model    0.576         NA        NA      NA
#> 3 grade_iii, Survival model   0.274         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.94823           0.01878          -0.11901           1.04545  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 250 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.9482302        0.0187761       -0.1190052        1.0454475 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01120263       0.57641842       0.27353317 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2563073477 0.1862567633 0.8666499755 0.0298696101 0.7598827683
#>   [6] 0.7831341452 0.3326606998 0.9755602330 0.4129010575 0.8788277089
#>  [11] 0.5374031740 0.4645714079 0.6127869740 0.7137822531 0.9514256282
#>  [16] 0.7251959879 0.8067283776 0.3529794757 0.1374555766 0.9877541416
#>  [21] 0.5697972364 0.0669961658 0.0669961658 0.2034382836 0.8544930329
#>  [26] 0.4645714079 0.0004873148 0.1690623971 0.1130226129 0.0049459820
#>  [31] 0.9392135015 0.3326606998 0.2840994869 0.4645714079 0.6910229937
#>  [36] 0.9150663759 0.2840994869 0.0360371774 0.5588950140 0.5374031740
#>  [41] 0.5697972364 0.3031489822 0.7598827683 0.6571744172 0.8788277089
#>  [46] 0.6018323152 0.6349226900 0.1291186694 0.0082435754 0.7831341452
#>  [51] 0.0082435754 0.6349226900 0.2746515943 0.4956999359 0.7023832974
#>  [56] 0.7251959879 0.6238084937 0.1776960865 0.9514256282 0.8423818951
#>  [61] 0.8067283776 0.0022519945 0.0818345863 0.6684571167 0.3826705561
#>  [66] 0.0082435754 0.0533225528 0.3129222844 0.2034382836 0.4438695369
#>  [71] 0.4129010575 0.4956999359 0.1374555766 0.2563073477 0.2294378660
#>  [76] 0.0360371774 0.0533225528 0.2294378660 0.0082435754 0.3927547190
#>  [81] 0.0237282952 0.6684571167 0.2205585722 0.1947737829 0.4956999359
#>  [86] 0.4438695369 0.0972032129 0.7482531154 0.9150663759 0.1374555766
#>  [91] 0.3529794757 0.4028256678 0.0818345863 0.0972032129 0.4956999359
#>  [96] 0.3129222844 0.5697972364 0.1130226129 0.4333813054 0.8788277089
#> [101] 0.2471534662 0.1374555766 0.8067283776 0.3529794757 0.0360371774
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000
#> 
#> $Time
#>    76   190    61   129    42    56    51    91    30   145     5   181   180 
#> 19.22 20.81 10.12 23.41 12.43 12.21 18.23  5.33 17.43 10.07 16.43 16.46 14.82 
#>   140    25   177    43    41    36   127    18   175 175.1   128    93 181.1 
#> 12.68  6.32 12.53 12.10 18.02 21.19  3.53 15.21 21.91 21.91 20.35 10.33 16.46 
#>    24    90   139    86    77  51.1   179 181.2   123    70 179.1    92    26 
#> 23.89 20.94 21.49 23.81  7.27 18.23 18.63 16.46 13.00  7.38 18.63 22.92 15.77 
#>   5.1  18.1     8  42.1    81 145.1   157    13   153   168  56.1 168.1  13.1 
#> 16.43 15.21 18.43 12.43 14.06 10.07 15.10 14.34 21.33 23.72 12.21 23.72 14.34 
#>    97    85    14 177.1   133    32  25.1    10  43.1    78   136   155    40 
#> 19.14 16.44 12.89 12.53 14.65 20.90  6.32 10.53 12.10 23.88 21.83 13.08 18.00 
#> 168.2    66    88 128.1   106  30.1  85.1    99  76.1   158  92.1  66.1 158.1 
#> 23.72 22.13 18.37 20.35 16.67 17.43 16.44 21.19 19.22 20.14 22.92 22.13 20.14 
#> 168.3   134   164 155.1   150    68   192 106.1   197    37  70.1  99.1  41.1 
#> 23.72 17.81 23.60 13.08 20.33 20.62 16.44 16.67 21.60 12.52  7.38 21.19 18.02 
#>   117 136.1 197.1  85.2  88.1  18.2 139.1    23 145.2    55  99.2  43.2  41.2 
#> 17.46 21.83 21.60 16.44 18.37 15.21 21.49 16.92 10.07 19.34 21.19 12.10 18.02 
#>  92.2   161   104    67   137    22    94    80   185   163   200     3    20 
#> 22.92 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182     2     1   165    71    27  67.1   138 185.1    83   162    87    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160    95    33    46   135 161.1    38    31    17   146 182.1   151 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1   174   142   193   176    21   122    75  20.2 137.1   2.1   141   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173  46.1   144    28    12    72   191   156 142.1 135.1   148   103 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1    19  83.1   3.1 161.2    65 122.1  75.1  72.1  28.1  46.2 142.2    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178   143 156.1 143.1  67.2 162.1   186  95.1  31.1 103.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[10]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01198009                0.45612710                0.41360515 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.20330661              0.02347921              0.09453753 
#>   grade_iii, Cure model 
#>              0.81562802 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 136   21.83      1  43        0         1
#> 55    19.34      1  69        0         1
#> 85    16.44      1  36        0         0
#> 91     5.33      1  61        0         1
#> 37    12.52      1  57        1         0
#> 18    15.21      1  49        1         0
#> 111   17.45      1  47        0         1
#> 140   12.68      1  59        1         0
#> 133   14.65      1  57        0         0
#> 58    19.34      1  39        0         0
#> 42    12.43      1  49        0         1
#> 192   16.44      1  31        1         0
#> 106   16.67      1  49        1         0
#> 134   17.81      1  47        1         0
#> 93    10.33      1  52        0         1
#> 70     7.38      1  30        1         0
#> 26    15.77      1  49        0         1
#> 16     8.71      1  71        0         1
#> 107   11.18      1  54        1         0
#> 105   19.75      1  60        0         0
#> 194   22.40      1  38        0         1
#> 113   22.86      1  34        0         0
#> 58.1  19.34      1  39        0         0
#> 133.1 14.65      1  57        0         0
#> 63    22.77      1  31        1         0
#> 100   16.07      1  60        0         0
#> 18.1  15.21      1  49        1         0
#> 41    18.02      1  40        1         0
#> 14    12.89      1  21        0         0
#> 18.2  15.21      1  49        1         0
#> 66    22.13      1  53        0         0
#> 61    10.12      1  36        0         1
#> 195   11.76      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 41.1  18.02      1  40        1         0
#> 66.1  22.13      1  53        0         0
#> 78    23.88      1  43        0         0
#> 166   19.98      1  48        0         0
#> 183    9.24      1  67        1         0
#> 188   16.16      1  46        0         1
#> 100.1 16.07      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 157.1 15.10      1  47        0         0
#> 170   19.54      1  43        0         1
#> 184   17.77      1  38        0         0
#> 166.1 19.98      1  48        0         0
#> 23    16.92      1  61        0         0
#> 69    23.23      1  25        0         1
#> 105.1 19.75      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 159   10.55      1  50        0         1
#> 16.1   8.71      1  71        0         1
#> 76    19.22      1  54        0         1
#> 37.1  12.52      1  57        1         0
#> 123   13.00      1  44        1         0
#> 70.1   7.38      1  30        1         0
#> 157.2 15.10      1  47        0         0
#> 111.2 17.45      1  47        0         1
#> 63.1  22.77      1  31        1         0
#> 93.1  10.33      1  52        0         1
#> 158   20.14      1  74        1         0
#> 188.1 16.16      1  46        0         1
#> 68    20.62      1  44        0         0
#> 6     15.64      1  39        0         0
#> 52    10.42      1  52        0         1
#> 8     18.43      1  32        0         0
#> 140.1 12.68      1  59        1         0
#> 79    16.23      1  54        1         0
#> 29    15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 86    23.81      1  58        0         1
#> 5     16.43      1  51        0         1
#> 199   19.81      1  NA        0         1
#> 140.2 12.68      1  59        1         0
#> 139   21.49      1  63        1         0
#> 61.1  10.12      1  36        0         1
#> 50    10.02      1  NA        1         0
#> 18.3  15.21      1  49        1         0
#> 91.1   5.33      1  61        0         1
#> 107.1 11.18      1  54        1         0
#> 107.2 11.18      1  54        1         0
#> 93.2  10.33      1  52        0         1
#> 93.3  10.33      1  52        0         1
#> 169   22.41      1  46        0         0
#> 42.1  12.43      1  49        0         1
#> 68.1  20.62      1  44        0         0
#> 110   17.56      1  65        0         1
#> 171   16.57      1  41        0         1
#> 170.1 19.54      1  43        0         1
#> 36    21.19      1  48        0         1
#> 51    18.23      1  83        0         1
#> 181   16.46      1  45        0         1
#> 157.3 15.10      1  47        0         0
#> 155   13.08      1  26        0         0
#> 171.1 16.57      1  41        0         1
#> 66.2  22.13      1  53        0         0
#> 13    14.34      1  54        0         1
#> 127    3.53      1  62        0         1
#> 42.2  12.43      1  49        0         1
#> 45    17.42      1  54        0         1
#> 177.1 12.53      1  75        0         0
#> 149    8.37      1  33        1         0
#> 197   21.60      1  69        1         0
#> 52.1  10.42      1  52        0         1
#> 91.2   5.33      1  61        0         1
#> 170.2 19.54      1  43        0         1
#> 96    14.54      1  33        0         1
#> 60    13.15      1  38        1         0
#> 6.1   15.64      1  39        0         0
#> 74    24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 54    24.00      0  53        1         0
#> 65    24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 112   24.00      0  61        0         0
#> 28    24.00      0  67        1         0
#> 72    24.00      0  40        0         1
#> 163   24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 182   24.00      0  35        0         0
#> 176   24.00      0  43        0         1
#> 54.1  24.00      0  53        1         0
#> 151   24.00      0  42        0         0
#> 20    24.00      0  46        1         0
#> 33    24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 46    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 7     24.00      0  37        1         0
#> 126   24.00      0  48        0         0
#> 176.1 24.00      0  43        0         1
#> 131   24.00      0  66        0         0
#> 44    24.00      0  56        0         0
#> 80    24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 160   24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 116   24.00      0  58        0         1
#> 151.1 24.00      0  42        0         0
#> 104   24.00      0  50        1         0
#> 161.1 24.00      0  45        0         0
#> 122   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 152.1 24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 174   24.00      0  49        1         0
#> 151.2 24.00      0  42        0         0
#> 21    24.00      0  47        0         0
#> 80.1  24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 21.1  24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 119.1 24.00      0  17        0         0
#> 137   24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 147   24.00      0  76        1         0
#> 1     24.00      0  23        1         0
#> 160.1 24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 176.2 24.00      0  43        0         1
#> 21.2  24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 98    24.00      0  34        1         0
#> 137.2 24.00      0  45        1         0
#> 148   24.00      0  61        1         0
#> 72.1  24.00      0  40        0         1
#> 173   24.00      0  19        0         1
#> 138   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 178.1 24.00      0  52        1         0
#> 148.1 24.00      0  61        1         0
#> 94    24.00      0  51        0         1
#> 62.1  24.00      0  71        0         0
#> 31.1  24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 182.1 24.00      0  35        0         0
#> 80.2  24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 165   24.00      0  47        0         0
#> 122.1 24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 87.1  24.00      0  27        0         0
#> 82.1  24.00      0  34        0         0
#> 67    24.00      0  25        0         0
#> 46.1  24.00      0  71        0         0
#> 160.2 24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 120.1 24.00      0  68        0         1
#> 94.1  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.20          NA        NA      NA
#> 2 age, Cure model           0.0235        NA        NA      NA
#> 3 grade_ii, Cure model      0.0945        NA        NA      NA
#> 4 grade_iii, Cure model     0.816         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0120        NA        NA      NA
#> 2 grade_ii, Survival model    0.456         NA        NA      NA
#> 3 grade_iii, Survival model   0.414         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.20331           0.02348           0.09454           0.81563  
#> 
#> Degrees of Freedom: 194 Total (i.e. Null);  191 Residual
#> Null Deviance:	    268.5 
#> Residual Deviance: 258 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.20330661       0.02347921       0.09453753       0.81562802 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01198009       0.45612710       0.41360515 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.80032795 0.38785927 0.54889611 0.70817295 0.98503221 0.88489832
#>   [7] 0.77924663 0.64760011 0.86134105 0.82099769 0.54889611 0.89404292
#>  [13] 0.70817295 0.68213779 0.62487050 0.93733399 0.97733748 0.75649342
#>  [19] 0.96563012 0.90737382 0.50031427 0.32017983 0.22654480 0.54889611
#>  [25] 0.82099769 0.25575094 0.74485701 0.77924663 0.60926786 0.85639866
#>  [31] 0.77924663 0.33964827 0.95357112 0.87554852 0.60926786 0.33964827
#>  [37] 0.08688969 0.47882444 0.96163302 0.73302617 0.74485701 0.92462258
#>  [43] 0.80032795 0.52087531 0.63255026 0.47882444 0.67532787 0.19532400
#>  [49] 0.50031427 0.64760011 0.92032173 0.96563012 0.57527993 0.88489832
#>  [55] 0.85144809 0.97733748 0.80032795 0.64760011 0.25575094 0.93733399
#>  [61] 0.46755881 0.73302617 0.44369201 0.76225763 0.92891339 0.59255281
#>  [67] 0.86134105 0.72692616 0.77364032 0.58395813 0.15791452 0.72072132
#>  [73] 0.86134105 0.41789299 0.95357112 0.77924663 0.98503221 0.90737382
#>  [79] 0.90737382 0.93733399 0.93733399 0.29892342 0.89404292 0.44369201
#>  [85] 0.64017665 0.68882500 0.52087531 0.43111793 0.60108964 0.70176657
#>  [91] 0.80032795 0.84644889 0.68882500 0.33964827 0.83638409 0.99627042
#>  [97] 0.89404292 0.66844320 0.87554852 0.97344380 0.40360249 0.92891339
#> [103] 0.98503221 0.52087531 0.83127096 0.84143888 0.76225763 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   157   136    55    85    91    37    18   111   140   133    58    42   192 
#> 15.10 21.83 19.34 16.44  5.33 12.52 15.21 17.45 12.68 14.65 19.34 12.43 16.44 
#>   106   134    93    70    26    16   107   105   194   113  58.1 133.1    63 
#> 16.67 17.81 10.33  7.38 15.77  8.71 11.18 19.75 22.40 22.86 19.34 14.65 22.77 
#>   100  18.1    41    14  18.2    66    61   177  41.1  66.1    78   166   183 
#> 16.07 15.21 18.02 12.89 15.21 22.13 10.12 12.53 18.02 22.13 23.88 19.98  9.24 
#>   188 100.1    10 157.1   170   184 166.1    23    69 105.1 111.1   159  16.1 
#> 16.16 16.07 10.53 15.10 19.54 17.77 19.98 16.92 23.23 19.75 17.45 10.55  8.71 
#>    76  37.1   123  70.1 157.2 111.2  63.1  93.1   158 188.1    68     6    52 
#> 19.22 12.52 13.00  7.38 15.10 17.45 22.77 10.33 20.14 16.16 20.62 15.64 10.42 
#>     8 140.1    79    29   179    86     5 140.2   139  61.1  18.3  91.1 107.1 
#> 18.43 12.68 16.23 15.45 18.63 23.81 16.43 12.68 21.49 10.12 15.21  5.33 11.18 
#> 107.2  93.2  93.3   169  42.1  68.1   110   171 170.1    36    51   181 157.3 
#> 11.18 10.33 10.33 22.41 12.43 20.62 17.56 16.57 19.54 21.19 18.23 16.46 15.10 
#>   155 171.1  66.2    13   127  42.2    45 177.1   149   197  52.1  91.2 170.2 
#> 13.08 16.57 22.13 14.34  3.53 12.43 17.42 12.53  8.37 21.60 10.42  5.33 19.54 
#>    96    60   6.1    74   119    54    65   152   112    28    72   163   121 
#> 14.54 13.15 15.64 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   161   182   176  54.1   151    20    33    31   178    46   200     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 176.1   131    44    80   144   160   120     2   116 151.1   104 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    87    62 152.1   196   174 151.2    21  80.1   132  21.1   135 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137    64   147     1 160.1 137.1    48 176.2  21.2   118    82    98 137.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148  72.1   173   138    84 178.1 148.1    94  62.1  31.1   103 182.1  80.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22    53   165 122.1 173.1  87.1  82.1    67  46.1 160.2  84.1 120.1  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[11]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00913085                0.53664723                0.54290211 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.89267643              0.01226793              0.41947742 
#>   grade_iii, Cure model 
#>              0.97758202 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 93    10.33      1  52        0         1
#> 14    12.89      1  21        0         0
#> 52    10.42      1  52        0         1
#> 111   17.45      1  47        0         1
#> 155   13.08      1  26        0         0
#> 50    10.02      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 105   19.75      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 105.1 19.75      1  60        0         0
#> 57    14.46      1  45        0         1
#> 63    22.77      1  31        1         0
#> 32    20.90      1  37        1         0
#> 24    23.89      1  38        0         0
#> 140   12.68      1  59        1         0
#> 41    18.02      1  40        1         0
#> 168   23.72      1  70        0         0
#> 93.1  10.33      1  52        0         1
#> 25     6.32      1  34        1         0
#> 86    23.81      1  58        0         1
#> 123   13.00      1  44        1         0
#> 195   11.76      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 42    12.43      1  49        0         1
#> 89    11.44      1  NA        0         0
#> 125.1 15.65      1  67        1         0
#> 26    15.77      1  49        0         1
#> 117   17.46      1  26        0         1
#> 8     18.43      1  32        0         0
#> 76    19.22      1  54        0         1
#> 129   23.41      1  53        1         0
#> 59    10.16      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 60    13.15      1  38        1         0
#> 157   15.10      1  47        0         0
#> 107   11.18      1  54        1         0
#> 106   16.67      1  49        1         0
#> 153   21.33      1  55        1         0
#> 4     17.64      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 49    12.19      1  48        1         0
#> 66    22.13      1  53        0         0
#> 86.1  23.81      1  58        0         1
#> 199   19.81      1  NA        0         1
#> 192   16.44      1  31        1         0
#> 16     8.71      1  71        0         1
#> 85    16.44      1  36        0         0
#> 157.1 15.10      1  47        0         0
#> 4.1   17.64      1  NA        0         1
#> 194   22.40      1  38        0         1
#> 97    19.14      1  65        0         1
#> 81    14.06      1  34        0         0
#> 51    18.23      1  83        0         1
#> 26.1  15.77      1  49        0         1
#> 157.2 15.10      1  47        0         0
#> 100   16.07      1  60        0         0
#> 136   21.83      1  43        0         1
#> 111.2 17.45      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 150   20.33      1  48        0         0
#> 93.2  10.33      1  52        0         1
#> 79    16.23      1  54        1         0
#> 96    14.54      1  33        0         1
#> 101.1  9.97      1  10        0         1
#> 49.1  12.19      1  48        1         0
#> 18    15.21      1  49        1         0
#> 154   12.63      1  20        1         0
#> 89.1  11.44      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 40    18.00      1  28        1         0
#> 91     5.33      1  61        0         1
#> 199.1 19.81      1  NA        0         1
#> 89.2  11.44      1  NA        0         0
#> 169   22.41      1  46        0         0
#> 166   19.98      1  48        0         0
#> 52.1  10.42      1  52        0         1
#> 16.1   8.71      1  71        0         1
#> 15    22.68      1  48        0         0
#> 140.1 12.68      1  59        1         0
#> 114.1 13.68      1  NA        0         0
#> 192.1 16.44      1  31        1         0
#> 167   15.55      1  56        1         0
#> 171   16.57      1  41        0         1
#> 149    8.37      1  33        1         0
#> 45    17.42      1  54        0         1
#> 93.3  10.33      1  52        0         1
#> 8.1   18.43      1  32        0         0
#> 171.1 16.57      1  41        0         1
#> 32.1  20.90      1  37        1         0
#> 149.1  8.37      1  33        1         0
#> 58    19.34      1  39        0         0
#> 170   19.54      1  43        0         1
#> 56    12.21      1  60        0         0
#> 39    15.59      1  37        0         1
#> 14.1  12.89      1  21        0         0
#> 170.1 19.54      1  43        0         1
#> 159   10.55      1  50        0         1
#> 37    12.52      1  57        1         0
#> 90    20.94      1  50        0         1
#> 153.1 21.33      1  55        1         0
#> 100.1 16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 199.2 19.81      1  NA        0         1
#> 105.2 19.75      1  60        0         0
#> 43    12.10      1  61        0         1
#> 89.3  11.44      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 37.1  12.52      1  57        1         0
#> 188   16.16      1  46        0         1
#> 184   17.77      1  38        0         0
#> 171.2 16.57      1  41        0         1
#> 163   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 176   24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 21    24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 102   24.00      0  49        0         0
#> 131   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 62    24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 21.1  24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 48.1  24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 7     24.00      0  37        1         0
#> 82    24.00      0  34        0         0
#> 160   24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 19    24.00      0  57        0         1
#> 64    24.00      0  43        0         0
#> 116   24.00      0  58        0         1
#> 152   24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 162   24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 98    24.00      0  34        1         0
#> 44    24.00      0  56        0         0
#> 144   24.00      0  28        0         1
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 115   24.00      0  NA        1         0
#> 119.1 24.00      0  17        0         0
#> 173   24.00      0  19        0         1
#> 87    24.00      0  27        0         0
#> 21.2  24.00      0  47        0         0
#> 80    24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 185.1 24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 144.1 24.00      0  28        0         1
#> 118   24.00      0  44        1         0
#> 31.1  24.00      0  36        0         1
#> 80.1  24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 102.1 24.00      0  49        0         0
#> 176.1 24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 21.3  24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 38    24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 142.1 24.00      0  53        0         0
#> 83    24.00      0   6        0         0
#> 132   24.00      0  55        0         0
#> 161.1 24.00      0  45        0         0
#> 160.1 24.00      0  31        1         0
#> 138.1 24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 84    24.00      0  39        0         1
#> 28    24.00      0  67        1         0
#> 67    24.00      0  25        0         0
#> 160.2 24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 84.1  24.00      0  39        0         1
#> 48.2  24.00      0  31        1         0
#> 131.2 24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 122   24.00      0  66        0         0
#> 144.2 24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 31.2  24.00      0  36        0         1
#> 178.1 24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 142.2 24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 138.2 24.00      0  44        1         0
#> 132.1 24.00      0  55        0         0
#> 9     24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 83.1  24.00      0   6        0         0
#> 21.4  24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.893         NA        NA      NA
#> 2 age, Cure model           0.0123        NA        NA      NA
#> 3 grade_ii, Cure model      0.419         NA        NA      NA
#> 4 grade_iii, Cure model     0.978         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00913        NA        NA      NA
#> 2 grade_ii, Survival model   0.537          NA        NA      NA
#> 3 grade_iii, Survival model  0.543          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.89268           0.01227           0.41948           0.97758  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254.5 
#> Residual Deviance: 245.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.89267643       0.01226793       0.41947742       0.97758202 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00913085       0.53664723       0.54290211 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.865254407 0.695518720 0.844163009 0.370144426 0.674190563 0.547455777
#>   [7] 0.188547498 0.370144426 0.188547498 0.642244086 0.053021320 0.140477950
#>  [13] 0.002967947 0.716772525 0.315318637 0.025387990 0.865254407 0.979335580
#>  [19] 0.012214795 0.684866629 0.906782559 0.769785780 0.547455777 0.526542491
#>  [25] 0.359246618 0.282610117 0.250467779 0.034497828 0.158895131 0.663550107
#>  [31] 0.600018439 0.822888309 0.412305484 0.111623777 0.917318496 0.791082983
#>  [37] 0.091425795 0.012214795 0.453948086 0.937999770 0.453948086 0.600018439
#>  [43] 0.081663590 0.261122421 0.652873900 0.304231223 0.526542491 0.600018439
#>  [49] 0.505545765 0.101605682 0.370144426 0.168578755 0.865254407 0.484666864
#>  [55] 0.631589390 0.917318496 0.791082983 0.589501331 0.738027682 0.043493857
#>  [61] 0.326333678 0.989667036 0.071643932 0.178463981 0.844163009 0.937999770
#>  [67] 0.062084178 0.716772525 0.453948086 0.578966687 0.423022917 0.958726772
#>  [73] 0.401562002 0.865254407 0.282610117 0.423022917 0.140477950 0.958726772
#>  [79] 0.239790000 0.219178738 0.780403736 0.568427129 0.695518720 0.219178738
#>  [85] 0.833531780 0.748667345 0.130654813 0.111623777 0.505545765 0.271798615
#>  [91] 0.188547498 0.812238704 0.348229432 0.748667345 0.495120700 0.337229446
#>  [97] 0.423022917 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    93    14    52   111   155   125   105 111.1 105.1    57    63    32    24 
#> 10.33 12.89 10.42 17.45 13.08 15.65 19.75 17.45 19.75 14.46 22.77 20.90 23.89 
#>   140    41   168  93.1    25    86   123    61    42 125.1    26   117     8 
#> 12.68 18.02 23.72 10.33  6.32 23.81 13.00 10.12 12.43 15.65 15.77 17.46 18.43 
#>    76   129    68    60   157   107   106   153   101    49    66  86.1   192 
#> 19.22 23.41 20.62 13.15 15.10 11.18 16.67 21.33  9.97 12.19 22.13 23.81 16.44 
#>    16    85 157.1   194    97    81    51  26.1 157.2   100   136 111.2   150 
#>  8.71 16.44 15.10 22.40 19.14 14.06 18.23 15.77 15.10 16.07 21.83 17.45 20.33 
#>  93.2    79    96 101.1  49.1    18   154   113    40    91   169   166  52.1 
#> 10.33 16.23 14.54  9.97 12.19 15.21 12.63 22.86 18.00  5.33 22.41 19.98 10.42 
#>  16.1    15 140.1 192.1   167   171   149    45  93.3   8.1 171.1  32.1 149.1 
#>  8.71 22.68 12.68 16.44 15.55 16.57  8.37 17.42 10.33 18.43 16.57 20.90  8.37 
#>    58   170    56    39  14.1 170.1   159    37    90 153.1 100.1   179 105.2 
#> 19.34 19.54 12.21 15.59 12.89 19.54 10.55 12.52 20.94 21.33 16.07 18.63 19.75 
#>    43   110  37.1   188   184 171.2   163   148   176   147    21    48   161 
#> 12.10 17.56 12.52 16.16 17.77 16.57 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   131   178   193    62   142  21.1   138 147.1  48.1     1     7    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160    54    19    64   116   152    94   162   119    98    44   144    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   103 119.1   173    87  21.2    80   151 185.1    31 144.1   118  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1   191 102.1 176.1     2  21.3    12    38 131.1 142.1    83   132 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1 138.1    47    84    28    67 160.2    35    75  84.1  48.2 131.2    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   122 144.2    33  31.2 178.1   143 142.2    95 138.2 132.1     9  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.1  21.4 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[12]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01383008                0.80768966                0.36988764 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.83052896              0.01536014              0.30262416 
#>   grade_iii, Cure model 
#>              0.57928438 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 129   23.41      1  53        1         0
#> 78    23.88      1  43        0         0
#> 6     15.64      1  39        0         0
#> 170   19.54      1  43        0         1
#> 195   11.76      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 164   23.60      1  76        0         1
#> 123   13.00      1  44        1         0
#> 60    13.15      1  38        1         0
#> 164.1 23.60      1  76        0         1
#> 26    15.77      1  49        0         1
#> 199   19.81      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 56    12.21      1  60        0         0
#> 55.1  19.34      1  69        0         1
#> 177   12.53      1  75        0         0
#> 36    21.19      1  48        0         1
#> 100   16.07      1  60        0         0
#> 96    14.54      1  33        0         1
#> 30    17.43      1  78        0         0
#> 134   17.81      1  47        1         0
#> 124    9.73      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 36.1  21.19      1  48        0         1
#> 100.1 16.07      1  60        0         0
#> 170.1 19.54      1  43        0         1
#> 183    9.24      1  67        1         0
#> 192   16.44      1  31        1         0
#> 10    10.53      1  34        0         0
#> 187    9.92      1  39        1         0
#> 60.1  13.15      1  38        1         0
#> 168   23.72      1  70        0         0
#> 81    14.06      1  34        0         0
#> 61    10.12      1  36        0         1
#> 58    19.34      1  39        0         0
#> 57    14.46      1  45        0         1
#> 111   17.45      1  47        0         1
#> 128   20.35      1  35        0         1
#> 194   22.40      1  38        0         1
#> 164.2 23.60      1  76        0         1
#> 167   15.55      1  56        1         0
#> 99    21.19      1  38        0         1
#> 8     18.43      1  32        0         0
#> 42    12.43      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 93    10.33      1  52        0         1
#> 134.1 17.81      1  47        1         0
#> 59    10.16      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 58.1  19.34      1  39        0         0
#> 164.3 23.60      1  76        0         1
#> 180   14.82      1  37        0         0
#> 145   10.07      1  65        1         0
#> 93.1  10.33      1  52        0         1
#> 127    3.53      1  62        0         1
#> 15    22.68      1  48        0         0
#> 57.1  14.46      1  45        0         1
#> 129.1 23.41      1  53        1         0
#> 68    20.62      1  44        0         0
#> 43    12.10      1  61        0         1
#> 4     17.64      1  NA        0         1
#> 117   17.46      1  26        0         1
#> 175   21.91      1  43        0         0
#> 171.1 16.57      1  41        0         1
#> 8.1   18.43      1  32        0         0
#> 145.1 10.07      1  65        1         0
#> 150   20.33      1  48        0         0
#> 197   21.60      1  69        1         0
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 125   15.65      1  67        1         0
#> 179   18.63      1  42        0         0
#> 187.1  9.92      1  39        1         0
#> 197.1 21.60      1  69        1         0
#> 181   16.46      1  45        0         1
#> 123.1 13.00      1  44        1         0
#> 69    23.23      1  25        0         1
#> 188   16.16      1  46        0         1
#> 139   21.49      1  63        1         0
#> 43.1  12.10      1  61        0         1
#> 41    18.02      1  40        1         0
#> 58.2  19.34      1  39        0         0
#> 41.1  18.02      1  40        1         0
#> 155   13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 194.1 22.40      1  38        0         1
#> 171.2 16.57      1  41        0         1
#> 179.1 18.63      1  42        0         0
#> 177.1 12.53      1  75        0         0
#> 125.1 15.65      1  67        1         0
#> 5     16.43      1  51        0         1
#> 133   14.65      1  57        0         0
#> 189   10.51      1  NA        1         0
#> 155.1 13.08      1  26        0         0
#> 175.1 21.91      1  43        0         0
#> 91     5.33      1  61        0         1
#> 154   12.63      1  20        1         0
#> 107   11.18      1  54        1         0
#> 127.1  3.53      1  62        0         1
#> 150.1 20.33      1  48        0         0
#> 164.4 23.60      1  76        0         1
#> 79    16.23      1  54        1         0
#> 106   16.67      1  49        1         0
#> 114.1 13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 113   22.86      1  34        0         0
#> 192.1 16.44      1  31        1         0
#> 61.1  10.12      1  36        0         1
#> 197.2 21.60      1  69        1         0
#> 60.2  13.15      1  38        1         0
#> 149    8.37      1  33        1         0
#> 152   24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 33    24.00      0  53        0         0
#> 147   24.00      0  76        1         0
#> 83    24.00      0   6        0         0
#> 135   24.00      0  58        1         0
#> 28    24.00      0  67        1         0
#> 172   24.00      0  41        0         0
#> 75    24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 28.1  24.00      0  67        1         0
#> 54    24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 20    24.00      0  46        1         0
#> 17    24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 182.1 24.00      0  35        0         0
#> 143   24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 1     24.00      0  23        1         0
#> 44    24.00      0  56        0         0
#> 98    24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 182.2 24.00      0  35        0         0
#> 121   24.00      0  57        1         0
#> 162   24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 44.1  24.00      0  56        0         0
#> 53.1  24.00      0  32        0         1
#> 44.2  24.00      0  56        0         0
#> 35.1  24.00      0  51        0         0
#> 75.1  24.00      0  21        1         0
#> 31    24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 196.1 24.00      0  19        0         0
#> 1.1   24.00      0  23        1         0
#> 182.3 24.00      0  35        0         0
#> 142.1 24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 198   24.00      0  66        0         1
#> 31.1  24.00      0  36        0         1
#> 152.1 24.00      0  36        0         1
#> 178.1 24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 11    24.00      0  42        0         1
#> 120   24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 48    24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 71    24.00      0  51        0         0
#> 109.2 24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 17.1  24.00      0  38        0         1
#> 152.2 24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 19.1  24.00      0  57        0         1
#> 200   24.00      0  64        0         0
#> 84    24.00      0  39        0         1
#> 1.2   24.00      0  23        1         0
#> 172.1 24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 116   24.00      0  58        0         1
#> 120.1 24.00      0  68        0         1
#> 132.1 24.00      0  55        0         0
#> 21    24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 144   24.00      0  28        0         1
#> 163   24.00      0  66        0         0
#> 31.2  24.00      0  36        0         1
#> 65.1  24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 48.1  24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 132.2 24.00      0  55        0         0
#> 2     24.00      0   9        0         0
#> 198.1 24.00      0  66        0         1
#> 35.2  24.00      0  51        0         0
#> 38.1  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.831         NA        NA      NA
#> 2 age, Cure model           0.0154        NA        NA      NA
#> 3 grade_ii, Cure model      0.303         NA        NA      NA
#> 4 grade_iii, Cure model     0.579         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0138        NA        NA      NA
#> 2 grade_ii, Survival model    0.808         NA        NA      NA
#> 3 grade_iii, Survival model   0.370         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.83053           0.01536           0.30262           0.57928  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 258.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.83052896       0.01536014       0.30262416       0.57928438 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01383008       0.80768966       0.36988764 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3671531858 0.0339840762 0.0040534786 0.5381287045 0.1906499165
#>   [6] 0.2086246263 0.0115796179 0.7074813352 0.6511581691 0.0115796179
#>  [11] 0.5052222225 0.5604335306 0.7871410105 0.2086246263 0.7527744516
#>  [16] 0.1320650816 0.4835608824 0.5940805810 0.3566617800 0.3160223015
#>  [21] 0.7300982031 0.1320650816 0.4835608824 0.1906499165 0.9405258191
#>  [26] 0.4307197700 0.8338980088 0.9169176475 0.6511581691 0.0072153455
#>  [31] 0.6395807679 0.8693794729 0.2086246263 0.6054224575 0.3463701788
#>  [36] 0.1643928823 0.0652218660 0.0115796179 0.5492849360 0.1320650816
#>  [41] 0.2749061545 0.7755984590 0.8457156649 0.3160223015 0.3884417334
#>  [46] 0.2086246263 0.0115796179 0.5715514252 0.8931209550 0.8457156649
#>  [51] 0.9761443124 0.0583365638 0.6054224575 0.0339840762 0.1558233373
#>  [56] 0.7987797982 0.3361527643 0.0860380505 0.3884417334 0.2749061545
#>  [61] 0.8931209550 0.1730109878 0.1012847170 0.0007469168 0.0007469168
#>  [66] 0.5162347772 0.2546879405 0.9169176475 0.1012847170 0.4198988629
#>  [71] 0.7074813352 0.0456062970 0.4728790938 0.1239597346 0.7987797982
#>  [76] 0.2956709554 0.2086246263 0.2956709554 0.6847040709 0.6280814571
#>  [81] 0.0652218660 0.3884417334 0.2546879405 0.7527744516 0.5162347772
#>  [86] 0.4516124215 0.5827566261 0.6847040709 0.0860380505 0.9642555141
#>  [91] 0.7414970699 0.8221428483 0.9761443124 0.1730109878 0.0115796179
#>  [96] 0.4622534270 0.3778182669 0.0786610247 0.0518245654 0.4307197700
#> [101] 0.8693794729 0.1012847170 0.6511581691 0.9524217717 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>    23   129    78     6   170    55   164   123    60 164.1    26    18    56 
#> 16.92 23.41 23.88 15.64 19.54 19.34 23.60 13.00 13.15 23.60 15.77 15.21 12.21 
#>  55.1   177    36   100    96    30   134   140  36.1 100.1 170.1   183   192 
#> 19.34 12.53 21.19 16.07 14.54 17.43 17.81 12.68 21.19 16.07 19.54  9.24 16.44 
#>    10   187  60.1   168    81    61    58    57   111   128   194 164.2   167 
#> 10.53  9.92 13.15 23.72 14.06 10.12 19.34 14.46 17.45 20.35 22.40 23.60 15.55 
#>    99     8    42    93 134.1   171  58.1 164.3   180   145  93.1   127    15 
#> 21.19 18.43 12.43 10.33 17.81 16.57 19.34 23.60 14.82 10.07 10.33  3.53 22.68 
#>  57.1 129.1    68    43   117   175 171.1   8.1 145.1   150   197    24  24.1 
#> 14.46 23.41 20.62 12.10 17.46 21.91 16.57 18.43 10.07 20.33 21.60 23.89 23.89 
#>   125   179 187.1 197.1   181 123.1    69   188   139  43.1    41  58.2  41.1 
#> 15.65 18.63  9.92 21.60 16.46 13.00 23.23 16.16 21.49 12.10 18.02 19.34 18.02 
#>   155    13 194.1 171.2 179.1 177.1 125.1     5   133 155.1 175.1    91   154 
#> 13.08 14.34 22.40 16.57 18.63 12.53 15.65 16.43 14.65 13.08 21.91  5.33 12.63 
#>   107 127.1 150.1 164.4    79   106    66   113 192.1  61.1 197.2  60.2   149 
#> 11.18  3.53 20.33 23.60 16.23 16.67 22.13 22.86 16.44 10.12 21.60 13.15  8.37 
#>   152    53    33   147    83   135    28   172    75  28.1    54   109   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20    17    35    19 182.1   143   132     1    44    98   196 182.2   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162   142   122 109.1  44.1  53.1  44.2  35.1  75.1    31    27 196.1   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.3 142.1   178   146   198  31.1 152.1 178.1    38    72   151    11   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12    48  11.1    71 109.2    65 146.1   137 137.1  17.1 152.2   176  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200    84   1.2 172.1    87   116 120.1 132.1    21   112   144   163  31.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1   131  48.1   193 132.2     2 198.1  35.2  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[13]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004835696               0.715277889               0.397909105 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.4934279065            0.0008963844            0.5748565093 
#>   grade_iii, Cure model 
#>            1.4123348758 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 10    10.53      1  34        0         0
#> 13    14.34      1  54        0         1
#> 192   16.44      1  31        1         0
#> 39    15.59      1  37        0         1
#> 32    20.90      1  37        1         0
#> 69    23.23      1  25        0         1
#> 166   19.98      1  48        0         0
#> 66    22.13      1  53        0         0
#> 114   13.68      1  NA        0         0
#> 30    17.43      1  78        0         0
#> 60    13.15      1  38        1         0
#> 13.1  14.34      1  54        0         1
#> 110   17.56      1  65        0         1
#> 134   17.81      1  47        1         0
#> 140   12.68      1  59        1         0
#> 8     18.43      1  32        0         0
#> 61    10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 43    12.10      1  61        0         1
#> 90    20.94      1  50        0         1
#> 68    20.62      1  44        0         0
#> 42    12.43      1  49        0         1
#> 171   16.57      1  41        0         1
#> 133   14.65      1  57        0         0
#> 13.2  14.34      1  54        0         1
#> 81    14.06      1  34        0         0
#> 153   21.33      1  55        1         0
#> 58    19.34      1  39        0         0
#> 113   22.86      1  34        0         0
#> 78    23.88      1  43        0         0
#> 139   21.49      1  63        1         0
#> 154   12.63      1  20        1         0
#> 86    23.81      1  58        0         1
#> 56    12.21      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 188.1 16.16      1  46        0         1
#> 79    16.23      1  54        1         0
#> 199.1 19.81      1  NA        0         1
#> 51    18.23      1  83        0         1
#> 179   18.63      1  42        0         0
#> 24    23.89      1  38        0         0
#> 40    18.00      1  28        1         0
#> 127    3.53      1  62        0         1
#> 92    22.92      1  47        0         1
#> 41    18.02      1  40        1         0
#> 99    21.19      1  38        0         1
#> 117   17.46      1  26        0         1
#> 175   21.91      1  43        0         0
#> 184   17.77      1  38        0         0
#> 105   19.75      1  60        0         0
#> 30.1  17.43      1  78        0         0
#> 70     7.38      1  30        1         0
#> 100   16.07      1  60        0         0
#> 145   10.07      1  65        1         0
#> 5     16.43      1  51        0         1
#> 114.1 13.68      1  NA        0         0
#> 8.1   18.43      1  32        0         0
#> 15    22.68      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 133.1 14.65      1  57        0         0
#> 76    19.22      1  54        0         1
#> 101    9.97      1  10        0         1
#> 81.1  14.06      1  34        0         0
#> 29    15.45      1  68        1         0
#> 26    15.77      1  49        0         1
#> 189   10.51      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 168   23.72      1  70        0         0
#> 166.1 19.98      1  48        0         0
#> 188.2 16.16      1  46        0         1
#> 42.1  12.43      1  49        0         1
#> 59    10.16      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 181   16.46      1  45        0         1
#> 107   11.18      1  54        1         0
#> 23    16.92      1  61        0         0
#> 29.1  15.45      1  68        1         0
#> 127.1  3.53      1  62        0         1
#> 86.1  23.81      1  58        0         1
#> 8.2   18.43      1  32        0         0
#> 99.1  21.19      1  38        0         1
#> 68.1  20.62      1  44        0         0
#> 30.2  17.43      1  78        0         0
#> 108   18.29      1  39        0         1
#> 139.1 21.49      1  63        1         0
#> 159   10.55      1  50        0         1
#> 158   20.14      1  74        1         0
#> 171.1 16.57      1  41        0         1
#> 89.1  11.44      1  NA        0         0
#> 192.1 16.44      1  31        1         0
#> 37    12.52      1  57        1         0
#> 194   22.40      1  38        0         1
#> 111   17.45      1  47        0         1
#> 90.1  20.94      1  50        0         1
#> 117.1 17.46      1  26        0         1
#> 32.1  20.90      1  37        1         0
#> 199.2 19.81      1  NA        0         1
#> 194.1 22.40      1  38        0         1
#> 39.1  15.59      1  37        0         1
#> 40.1  18.00      1  28        1         0
#> 188.3 16.16      1  46        0         1
#> 192.2 16.44      1  31        1         0
#> 106   16.67      1  49        1         0
#> 149    8.37      1  33        1         0
#> 164   23.60      1  76        0         1
#> 90.2  20.94      1  50        0         1
#> 108.1 18.29      1  39        0         1
#> 159.1 10.55      1  50        0         1
#> 61.1  10.12      1  36        0         1
#> 93    10.33      1  52        0         1
#> 169   22.41      1  46        0         0
#> 128   20.35      1  35        0         1
#> 142   24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 147   24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 172   24.00      0  41        0         0
#> 178.1 24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 44.1  24.00      0  56        0         0
#> 12    24.00      0  63        0         0
#> 98    24.00      0  34        1         0
#> 198   24.00      0  66        0         1
#> 185   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 120   24.00      0  68        0         1
#> 48    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 144   24.00      0  28        0         1
#> 98.1  24.00      0  34        1         0
#> 44.2  24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 112   24.00      0  61        0         0
#> 75    24.00      0  21        1         0
#> 20    24.00      0  46        1         0
#> 135   24.00      0  58        1         0
#> 7     24.00      0  37        1         0
#> 67    24.00      0  25        0         0
#> 71    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 122   24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 34    24.00      0  36        0         0
#> 21    24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 135.1 24.00      0  58        1         0
#> 46    24.00      0  71        0         0
#> 80    24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 131   24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 2.1   24.00      0   9        0         0
#> 67.1  24.00      0  25        0         0
#> 162   24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 144.1 24.00      0  28        0         1
#> 162.1 24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 112.1 24.00      0  61        0         0
#> 172.1 24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 62.1  24.00      0  71        0         0
#> 9     24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 34.1  24.00      0  36        0         0
#> 198.1 24.00      0  66        0         1
#> 143   24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 122.1 24.00      0  66        0         0
#> 176.1 24.00      0  43        0         1
#> 173   24.00      0  19        0         1
#> 19    24.00      0  57        0         1
#> 74    24.00      0  43        0         1
#> 48.1  24.00      0  31        1         0
#> 44.3  24.00      0  56        0         0
#> 138   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 102.1 24.00      0  49        0         0
#> 71.1  24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 67.2  24.00      0  25        0         0
#> 103.1 24.00      0  56        1         0
#> 7.1   24.00      0  37        1         0
#> 162.2 24.00      0  51        0         0
#> 151.1 24.00      0  42        0         0
#> 17    24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 172.2 24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 46.1  24.00      0  71        0         0
#> 112.2 24.00      0  61        0         0
#> 27    24.00      0  63        1         0
#> 112.3 24.00      0  61        0         0
#> 22    24.00      0  52        1         0
#> 131.2 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.493           NA        NA      NA
#> 2 age, Cure model          0.000896        NA        NA      NA
#> 3 grade_ii, Cure model     0.575           NA        NA      NA
#> 4 grade_iii, Cure model    1.41            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00484        NA        NA      NA
#> 2 grade_ii, Survival model   0.715          NA        NA      NA
#> 3 grade_iii, Survival model  0.398          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.4934279         0.0008964         0.5748565         1.4123349  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 247.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.4934279065     0.0008963844     0.5748565093     1.4123348758 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004835696      0.715277889      0.397909105 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.909285184 0.773019970 0.614328034 0.711995067 0.272464264 0.078495801
#>   [7] 0.332141527 0.162492828 0.538839775 0.816147662 0.773019970 0.501128563
#>  [13] 0.482001593 0.824800148 0.392549883 0.926074698 0.659274009 0.875705105
#>  [19] 0.241902064 0.292174730 0.850413923 0.586180232 0.755646803 0.773019970
#>  [25] 0.798806139 0.209433007 0.362071926 0.102473748 0.017232280 0.187012864
#>  [31] 0.833404146 0.031655424 0.867233400 0.659274009 0.650278160 0.442703619
#>  [37] 0.382371029 0.005181327 0.462858865 0.983798740 0.090630905 0.452858055
#>  [43] 0.220611544 0.510691736 0.174671929 0.491549459 0.351950979 0.538839775
#>  [49] 0.975650598 0.694170205 0.942700906 0.641210204 0.392549883 0.114529162
#>  [55] 0.755646803 0.372241750 0.951014669 0.798806139 0.738369345 0.703092500
#>  [61] 0.729581916 0.052908807 0.332141527 0.659274009 0.850413923 0.951014669
#>  [67] 0.604915662 0.884167935 0.567060063 0.738369345 0.983798740 0.031655424
#>  [73] 0.392549883 0.220611544 0.292174730 0.538839775 0.422629251 0.187012864
#>  [79] 0.892584458 0.322209305 0.586180232 0.614328034 0.841932752 0.139423765
#>  [85] 0.529421724 0.241902064 0.510691736 0.272464264 0.139423765 0.711995067
#>  [91] 0.462858865 0.659274009 0.614328034 0.576668750 0.967449814 0.065736615
#>  [97] 0.241902064 0.422629251 0.892584458 0.926074698 0.917685996 0.126854289
#> [103] 0.312143806 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    10    13   192    39    32    69   166    66    30    60  13.1   110   134 
#> 10.53 14.34 16.44 15.59 20.90 23.23 19.98 22.13 17.43 13.15 14.34 17.56 17.81 
#>   140     8    61   188    43    90    68    42   171   133  13.2    81   153 
#> 12.68 18.43 10.12 16.16 12.10 20.94 20.62 12.43 16.57 14.65 14.34 14.06 21.33 
#>    58   113    78   139   154    86    56 188.1    79    51   179    24    40 
#> 19.34 22.86 23.88 21.49 12.63 23.81 12.21 16.16 16.23 18.23 18.63 23.89 18.00 
#>   127    92    41    99   117   175   184   105  30.1    70   100   145     5 
#>  3.53 22.92 18.02 21.19 17.46 21.91 17.77 19.75 17.43  7.38 16.07 10.07 16.43 
#>   8.1    15 133.1    76   101  81.1    29    26   167   168 166.1 188.2  42.1 
#> 18.43 22.68 14.65 19.22  9.97 14.06 15.45 15.77 15.55 23.72 19.98 16.16 12.43 
#> 101.1   181   107    23  29.1 127.1  86.1   8.2  99.1  68.1  30.2   108 139.1 
#>  9.97 16.46 11.18 16.92 15.45  3.53 23.81 18.43 21.19 20.62 17.43 18.29 21.49 
#>   159   158 171.1 192.1    37   194   111  90.1 117.1  32.1 194.1  39.1  40.1 
#> 10.55 20.14 16.57 16.44 12.52 22.40 17.45 20.94 17.46 20.90 22.40 15.59 18.00 
#> 188.3 192.2   106   149   164  90.2 108.1 159.1  61.1    93   169   128   142 
#> 16.16 16.44 16.67  8.37 23.60 20.94 18.29 10.55 10.12 10.33 22.41 20.35 24.00 
#>   178   147    44   172 178.1    72  44.1    12    98   198   185   151   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48    64   144  98.1  44.2   102   112    75    20   135     7    67    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   122   103    34    21    47 135.1    46    80   132   131 131.1    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1  67.1   162   156 144.1 162.1   176    84 112.1 172.1    87    62  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   191  34.1 198.1   143   109 122.1 176.1   173    19    74  48.1  44.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138    31     1 102.1  71.1   163   174  67.2 103.1   7.1 162.2 151.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116 172.2    33  46.1 112.2    27 112.3    22 131.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[14]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006449145               0.306227372               0.095449619 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.328771244            -0.001411763            -0.335857984 
#>   grade_iii, Cure model 
#>             0.004229956 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 170   19.54      1  43        0         1
#> 125   15.65      1  67        1         0
#> 179   18.63      1  42        0         0
#> 61    10.12      1  36        0         1
#> 68    20.62      1  44        0         0
#> 133   14.65      1  57        0         0
#> 89    11.44      1  NA        0         0
#> 184   17.77      1  38        0         0
#> 79    16.23      1  54        1         0
#> 66    22.13      1  53        0         0
#> 190   20.81      1  42        1         0
#> 51    18.23      1  83        0         1
#> 130   16.47      1  53        0         1
#> 10    10.53      1  34        0         0
#> 180   14.82      1  37        0         0
#> 134   17.81      1  47        1         0
#> 177   12.53      1  75        0         0
#> 81    14.06      1  34        0         0
#> 181   16.46      1  45        0         1
#> 181.1 16.46      1  45        0         1
#> 49    12.19      1  48        1         0
#> 16     8.71      1  71        0         1
#> 49.1  12.19      1  48        1         0
#> 60    13.15      1  38        1         0
#> 117   17.46      1  26        0         1
#> 39    15.59      1  37        0         1
#> 180.1 14.82      1  37        0         0
#> 18    15.21      1  49        1         0
#> 125.1 15.65      1  67        1         0
#> 184.1 17.77      1  38        0         0
#> 49.2  12.19      1  48        1         0
#> 88    18.37      1  47        0         0
#> 78    23.88      1  43        0         0
#> 190.1 20.81      1  42        1         0
#> 153   21.33      1  55        1         0
#> 195   11.76      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 195.1 11.76      1  NA        1         0
#> 184.2 17.77      1  38        0         0
#> 167   15.55      1  56        1         0
#> 111   17.45      1  47        0         1
#> 166   19.98      1  48        0         0
#> 61.1  10.12      1  36        0         1
#> 155   13.08      1  26        0         0
#> 179.1 18.63      1  42        0         0
#> 192   16.44      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 29    15.45      1  68        1         0
#> 89.1  11.44      1  NA        0         0
#> 4     17.64      1  NA        0         1
#> 68.1  20.62      1  44        0         0
#> 13.1  14.34      1  54        0         1
#> 89.2  11.44      1  NA        0         0
#> 52    10.42      1  52        0         1
#> 101    9.97      1  10        0         1
#> 197   21.60      1  69        1         0
#> 15    22.68      1  48        0         0
#> 14    12.89      1  21        0         0
#> 175   21.91      1  43        0         0
#> 183    9.24      1  67        1         0
#> 70     7.38      1  30        1         0
#> 85    16.44      1  36        0         0
#> 133.1 14.65      1  57        0         0
#> 23    16.92      1  61        0         0
#> 124    9.73      1  NA        1         0
#> 179.2 18.63      1  42        0         0
#> 194   22.40      1  38        0         1
#> 101.1  9.97      1  10        0         1
#> 168   23.72      1  70        0         0
#> 128   20.35      1  35        0         1
#> 4.1   17.64      1  NA        0         1
#> 192.1 16.44      1  31        1         0
#> 129   23.41      1  53        1         0
#> 199.1 19.81      1  NA        0         1
#> 179.3 18.63      1  42        0         0
#> 171   16.57      1  41        0         1
#> 24    23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 197.1 21.60      1  69        1         0
#> 76    19.22      1  54        0         1
#> 23.1  16.92      1  61        0         0
#> 52.1  10.42      1  52        0         1
#> 159   10.55      1  50        0         1
#> 157   15.10      1  47        0         0
#> 18.1  15.21      1  49        1         0
#> 128.1 20.35      1  35        0         1
#> 5     16.43      1  51        0         1
#> 194.1 22.40      1  38        0         1
#> 81.1  14.06      1  34        0         0
#> 177.1 12.53      1  75        0         0
#> 190.2 20.81      1  42        1         0
#> 14.1  12.89      1  21        0         0
#> 175.1 21.91      1  43        0         0
#> 56    12.21      1  60        0         0
#> 26    15.77      1  49        0         1
#> 130.1 16.47      1  53        0         1
#> 14.2  12.89      1  21        0         0
#> 145   10.07      1  65        1         0
#> 177.2 12.53      1  75        0         0
#> 92.1  22.92      1  47        0         1
#> 14.3  12.89      1  21        0         0
#> 51.1  18.23      1  83        0         1
#> 155.1 13.08      1  26        0         0
#> 68.2  20.62      1  44        0         0
#> 127    3.53      1  62        0         1
#> 76.1  19.22      1  54        0         1
#> 86    23.81      1  58        0         1
#> 60.1  13.15      1  38        1         0
#> 184.3 17.77      1  38        0         0
#> 166.1 19.98      1  48        0         0
#> 85.1  16.44      1  36        0         0
#> 94    24.00      0  51        0         1
#> 178   24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 48    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 83    24.00      0   6        0         0
#> 3     24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 146   24.00      0  63        1         0
#> 151   24.00      0  42        0         0
#> 115   24.00      0  NA        1         0
#> 162   24.00      0  51        0         0
#> 173.1 24.00      0  19        0         1
#> 176   24.00      0  43        0         1
#> 1     24.00      0  23        1         0
#> 147   24.00      0  76        1         0
#> 94.1  24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 172   24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 20    24.00      0  46        1         0
#> 75    24.00      0  21        1         0
#> 148   24.00      0  61        1         0
#> 198.1 24.00      0  66        0         1
#> 11    24.00      0  42        0         1
#> 147.1 24.00      0  76        1         0
#> 172.1 24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 193.1 24.00      0  45        0         1
#> 161   24.00      0  45        0         0
#> 47    24.00      0  38        0         1
#> 163   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 200.1 24.00      0  64        0         0
#> 119   24.00      0  17        0         0
#> 47.1  24.00      0  38        0         1
#> 3.1   24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 119.1 24.00      0  17        0         0
#> 11.1  24.00      0  42        0         1
#> 1.1   24.00      0  23        1         0
#> 161.1 24.00      0  45        0         0
#> 65.1  24.00      0  57        1         0
#> 95.1  24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 75.1  24.00      0  21        1         0
#> 186   24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 135.1 24.00      0  58        1         0
#> 138   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 31.1  24.00      0  36        0         1
#> 200.2 24.00      0  64        0         0
#> 87    24.00      0  27        0         0
#> 122   24.00      0  66        0         0
#> 198.2 24.00      0  66        0         1
#> 87.1  24.00      0  27        0         0
#> 27    24.00      0  63        1         0
#> 33.1  24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 178.1 24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 95.2  24.00      0  68        0         1
#> 163.1 24.00      0  66        0         0
#> 176.1 24.00      0  43        0         1
#> 146.1 24.00      0  63        1         0
#> 44    24.00      0  56        0         0
#> 67    24.00      0  25        0         0
#> 122.1 24.00      0  66        0         0
#> 200.3 24.00      0  64        0         0
#> 27.1  24.00      0  63        1         0
#> 73    24.00      0  NA        0         1
#> 9     24.00      0  31        1         0
#> 173.2 24.00      0  19        0         1
#> 109   24.00      0  48        0         0
#> 148.1 24.00      0  61        1         0
#> 80    24.00      0  41        0         0
#> 33.2  24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 165.1 24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.329          NA        NA      NA
#> 2 age, Cure model         -0.00141        NA        NA      NA
#> 3 grade_ii, Cure model    -0.336          NA        NA      NA
#> 4 grade_iii, Cure model    0.00423        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00645        NA        NA      NA
#> 2 grade_ii, Survival model   0.306          NA        NA      NA
#> 3 grade_iii, Survival model  0.0954         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.328771         -0.001412         -0.335858          0.004230  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 258.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.328771244     -0.001411763     -0.335857984      0.004229956 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006449145      0.306227372      0.095449619 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.638295921 0.205571468 0.509757656 0.232616170 0.895493582 0.146197213
#>   [7] 0.616537422 0.307104175 0.488577689 0.073479867 0.122474317 0.278079590
#>  [13] 0.396051339 0.860965447 0.595012647 0.297322677 0.770372271 0.660221432
#>  [19] 0.416607854 0.416607854 0.815573659 0.964953158 0.815573659 0.682291308
#>  [25] 0.345416145 0.530864133 0.595012647 0.562979215 0.509757656 0.307104175
#>  [31] 0.815573659 0.268525309 0.005672140 0.122474317 0.113934707 0.030487345
#>  [37] 0.307104175 0.541553044 0.355440688 0.188031862 0.895493582 0.704316317
#>  [43] 0.232616170 0.437345626 0.552253249 0.146197213 0.638295921 0.872482585
#>  [49] 0.930213006 0.097551913 0.051095639 0.726448216 0.081523323 0.953314694
#>  [55] 0.976634458 0.437345626 0.616537422 0.365518544 0.232616170 0.058715344
#>  [61] 0.930213006 0.016777037 0.170918087 0.437345626 0.023590409 0.232616170
#>  [67] 0.385754502 0.001580686 0.037491698 0.097551913 0.214602310 0.365518544
#>  [73] 0.872482585 0.849478566 0.584234697 0.562979215 0.170918087 0.478019351
#>  [79] 0.058715344 0.660221432 0.770372271 0.122474317 0.726448216 0.081523323
#>  [85] 0.804113370 0.499145434 0.396051339 0.726448216 0.918580416 0.770372271
#>  [91] 0.037491698 0.726448216 0.278079590 0.704316317 0.146197213 0.988299107
#>  [97] 0.214602310 0.010856017 0.682291308 0.307104175 0.188031862 0.437345626
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>    13   170   125   179    61    68   133   184    79    66   190    51   130 
#> 14.34 19.54 15.65 18.63 10.12 20.62 14.65 17.77 16.23 22.13 20.81 18.23 16.47 
#>    10   180   134   177    81   181 181.1    49    16  49.1    60   117    39 
#> 10.53 14.82 17.81 12.53 14.06 16.46 16.46 12.19  8.71 12.19 13.15 17.46 15.59 
#> 180.1    18 125.1 184.1  49.2    88    78 190.1   153    69 184.2   167   111 
#> 14.82 15.21 15.65 17.77 12.19 18.37 23.88 20.81 21.33 23.23 17.77 15.55 17.45 
#>   166  61.1   155 179.1   192    29  68.1  13.1    52   101   197    15    14 
#> 19.98 10.12 13.08 18.63 16.44 15.45 20.62 14.34 10.42  9.97 21.60 22.68 12.89 
#>   175   183    70    85 133.1    23 179.2   194 101.1   168   128 192.1   129 
#> 21.91  9.24  7.38 16.44 14.65 16.92 18.63 22.40  9.97 23.72 20.35 16.44 23.41 
#> 179.3   171    24    92 197.1    76  23.1  52.1   159   157  18.1 128.1     5 
#> 18.63 16.57 23.89 22.92 21.60 19.22 16.92 10.42 10.55 15.10 15.21 20.35 16.43 
#> 194.1  81.1 177.1 190.2  14.1 175.1    56    26 130.1  14.2   145 177.2  92.1 
#> 22.40 14.06 12.53 20.81 12.89 21.91 12.21 15.77 16.47 12.89 10.07 12.53 22.92 
#>  14.3  51.1 155.1  68.2   127  76.1    86  60.1 184.3 166.1  85.1    94   178 
#> 12.89 18.23 13.08 20.62  3.53 19.22 23.81 13.15 17.77 19.98 16.44 24.00 24.00 
#>    31   193    48   142   152   173    83     3   200   146   151   162 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176     1   147  94.1   198   172    95    20    75   148 198.1    11 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1   135 193.1   161    47   163   185    65   191 200.1   119  47.1   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143 119.1  11.1   1.1 161.1  65.1  95.1   165    84  75.1   186    33 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138    53  31.1 200.2    87   122 198.2  87.1    27  33.1    72 178.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.2 163.1 176.1 146.1    44    67 122.1 200.3  27.1     9 173.2   109 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80  33.2   104 165.1   131   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[15]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009977124               0.770964341               0.310149982 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.67999037              0.01261246              0.52505364 
#>   grade_iii, Cure model 
#>              0.32667692 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 171   16.57      1  41        0         1
#> 168   23.72      1  70        0         0
#> 90    20.94      1  50        0         1
#> 97    19.14      1  65        0         1
#> 130   16.47      1  53        0         1
#> 149    8.37      1  33        1         0
#> 86    23.81      1  58        0         1
#> 50    10.02      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 42    12.43      1  49        0         1
#> 50.1  10.02      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 24    23.89      1  38        0         0
#> 88    18.37      1  47        0         0
#> 49    12.19      1  48        1         0
#> 91     5.33      1  61        0         1
#> 192   16.44      1  31        1         0
#> 149.1  8.37      1  33        1         0
#> 6     15.64      1  39        0         0
#> 6.1   15.64      1  39        0         0
#> 50.2  10.02      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 106   16.67      1  49        1         0
#> 85    16.44      1  36        0         0
#> 51    18.23      1  83        0         1
#> 23    16.92      1  61        0         0
#> 110   17.56      1  65        0         1
#> 90.1  20.94      1  50        0         1
#> 140   12.68      1  59        1         0
#> 41    18.02      1  40        1         0
#> 133   14.65      1  57        0         0
#> 45    17.42      1  54        0         1
#> 55    19.34      1  69        0         1
#> 184   17.77      1  38        0         0
#> 51.1  18.23      1  83        0         1
#> 128   20.35      1  35        0         1
#> 168.1 23.72      1  70        0         0
#> 14    12.89      1  21        0         0
#> 166   19.98      1  48        0         0
#> 158   20.14      1  74        1         0
#> 37    12.52      1  57        1         0
#> 8     18.43      1  32        0         0
#> 37.1  12.52      1  57        1         0
#> 41.1  18.02      1  40        1         0
#> 164   23.60      1  76        0         1
#> 187    9.92      1  39        1         0
#> 79    16.23      1  54        1         0
#> 59    10.16      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 81    14.06      1  34        0         0
#> 100   16.07      1  60        0         0
#> 45.1  17.42      1  54        0         1
#> 184.1 17.77      1  38        0         0
#> 52    10.42      1  52        0         1
#> 136   21.83      1  43        0         1
#> 56    12.21      1  60        0         0
#> 91.1   5.33      1  61        0         1
#> 111   17.45      1  47        0         1
#> 149.2  8.37      1  33        1         0
#> 13    14.34      1  54        0         1
#> 85.1  16.44      1  36        0         0
#> 90.2  20.94      1  50        0         1
#> 60    13.15      1  38        1         0
#> 18    15.21      1  49        1         0
#> 26    15.77      1  49        0         1
#> 139   21.49      1  63        1         0
#> 168.2 23.72      1  70        0         0
#> 124    9.73      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 187.1  9.92      1  39        1         0
#> 42.1  12.43      1  49        0         1
#> 10    10.53      1  34        0         0
#> 18.1  15.21      1  49        1         0
#> 195   11.76      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 50.3  10.02      1  NA        1         0
#> 139.1 21.49      1  63        1         0
#> 179   18.63      1  42        0         0
#> 194   22.40      1  38        0         1
#> 149.3  8.37      1  33        1         0
#> 41.2  18.02      1  40        1         0
#> 97.1  19.14      1  65        0         1
#> 149.4  8.37      1  33        1         0
#> 117   17.46      1  26        0         1
#> 81.1  14.06      1  34        0         0
#> 50.4  10.02      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 113.1 22.86      1  34        0         0
#> 56.1  12.21      1  60        0         0
#> 32    20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 41.3  18.02      1  40        1         0
#> 58    19.34      1  39        0         0
#> 32.1  20.90      1  37        1         0
#> 30    17.43      1  78        0         0
#> 10.1  10.53      1  34        0         0
#> 60.1  13.15      1  38        1         0
#> 134   17.81      1  47        1         0
#> 16     8.71      1  71        0         1
#> 93    10.33      1  52        0         1
#> 79.1  16.23      1  54        1         0
#> 58.1  19.34      1  39        0         0
#> 76.1  19.22      1  54        0         1
#> 79.2  16.23      1  54        1         0
#> 90.3  20.94      1  50        0         1
#> 106.1 16.67      1  49        1         0
#> 107   11.18      1  54        1         0
#> 29    15.45      1  68        1         0
#> 52.2  10.42      1  52        0         1
#> 155   13.08      1  26        0         0
#> 113.2 22.86      1  34        0         0
#> 135   24.00      0  58        1         0
#> 115   24.00      0  NA        1         0
#> 65    24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 131   24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 148   24.00      0  61        1         0
#> 12    24.00      0  63        0         0
#> 109   24.00      0  48        0         0
#> 64    24.00      0  43        0         0
#> 12.1  24.00      0  63        0         0
#> 48    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 12.2  24.00      0  63        0         0
#> 2     24.00      0   9        0         0
#> 121   24.00      0  57        1         0
#> 162.1 24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 19    24.00      0  57        0         1
#> 72    24.00      0  40        0         1
#> 2.1   24.00      0   9        0         0
#> 83    24.00      0   6        0         0
#> 143   24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 200   24.00      0  64        0         0
#> 64.1  24.00      0  43        0         0
#> 173.1 24.00      0  19        0         1
#> 2.2   24.00      0   9        0         0
#> 162.2 24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 72.1  24.00      0  40        0         1
#> 196   24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 118.1 24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 38    24.00      0  31        1         0
#> 200.1 24.00      0  64        0         0
#> 182   24.00      0  35        0         0
#> 87    24.00      0  27        0         0
#> 48.1  24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 178   24.00      0  52        1         0
#> 144   24.00      0  28        0         1
#> 152   24.00      0  36        0         1
#> 19.1  24.00      0  57        0         1
#> 173.2 24.00      0  19        0         1
#> 95    24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 62.1  24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 83.1  24.00      0   6        0         0
#> 162.3 24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 2.3   24.00      0   9        0         0
#> 82    24.00      0  34        0         0
#> 156.1 24.00      0  50        1         0
#> 144.1 24.00      0  28        0         1
#> 109.1 24.00      0  48        0         0
#> 17    24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 196.1 24.00      0  19        0         0
#> 143.1 24.00      0  51        0         0
#> 62.2  24.00      0  71        0         0
#> 72.2  24.00      0  40        0         1
#> 104   24.00      0  50        1         0
#> 165.1 24.00      0  47        0         0
#> 120.2 24.00      0  68        0         1
#> 95.1  24.00      0  68        0         1
#> 62.3  24.00      0  71        0         0
#> 62.4  24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 11    24.00      0  42        0         1
#> 74    24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 11.1  24.00      0  42        0         1
#> 144.2 24.00      0  28        0         1
#> 152.1 24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.680         NA        NA      NA
#> 2 age, Cure model           0.0126        NA        NA      NA
#> 3 grade_ii, Cure model      0.525         NA        NA      NA
#> 4 grade_iii, Cure model     0.327         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00998        NA        NA      NA
#> 2 grade_ii, Survival model   0.771          NA        NA      NA
#> 3 grade_iii, Survival model  0.310          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.67999           0.01261           0.52505           0.32668  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 259 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.67999037       0.01261246       0.52505364       0.32667692 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009977124      0.770964341      0.310149982 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4880555975 0.0139697620 0.1132896251 0.2490047435 0.4982949845
#>   [6] 0.9299494384 0.0086774727 0.0407872893 0.7738538695 0.1666842208
#>  [11] 0.0009521738 0.2883870221 0.8152476728 0.9796858335 0.5085758663
#>  [16] 0.9299494384 0.5890224682 0.5890224682 0.0496528224 0.4678311959
#>  [21] 0.5085758663 0.3088257686 0.4574596233 0.3969126174 0.1132896251
#>  [26] 0.7326885519 0.3294969404 0.6400815053 0.4371590549 0.2027621492
#>  [31] 0.3772639032 0.3088257686 0.1756573366 0.0139697620 0.7223578900
#>  [36] 0.1936245183 0.1846481375 0.7533675865 0.2783144013 0.7533675865
#>  [41] 0.3294969404 0.0322018784 0.8986902669 0.5388097985 0.0041041810
#>  [46] 0.6709834437 0.5686072614 0.4371590549 0.3772639032 0.8568874936
#>  [51] 0.0850403587 0.7944293282 0.9796858335 0.4169421337 0.9299494384
#>  [56] 0.6606538316 0.5085758663 0.1132896251 0.6916654603 0.6198350694
#>  [61] 0.5788001312 0.0949845803 0.0139697620 0.8568874936 0.8986902669
#>  [66] 0.7738538695 0.8360753917 0.6198350694 0.7429901681 0.0949845803
#>  [71] 0.2683404693 0.0752259097 0.9299494384 0.3294969404 0.2490047435
#>  [76] 0.9299494384 0.4069337838 0.6709834437 0.6503571235 0.2985931025
#>  [81] 0.0496528224 0.7944293282 0.1488271122 0.2300911376 0.3294969404
#>  [86] 0.2027621492 0.1488271122 0.4269858886 0.8360753917 0.6916654603
#>  [91] 0.3674713756 0.9194640654 0.8881284604 0.5388097985 0.2027621492
#>  [96] 0.2300911376 0.5388097985 0.1132896251 0.4678311959 0.8256786960
#> [101] 0.6095170924 0.8568874936 0.7120550820 0.0496528224 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>   171   168    90    97   130   149    86    92    42   190    24    88    49 
#> 16.57 23.72 20.94 19.14 16.47  8.37 23.81 22.92 12.43 20.81 23.89 18.37 12.19 
#>    91   192 149.1     6   6.1   113   106    85    51    23   110  90.1   140 
#>  5.33 16.44  8.37 15.64 15.64 22.86 16.67 16.44 18.23 16.92 17.56 20.94 12.68 
#>    41   133    45    55   184  51.1   128 168.1    14   166   158    37     8 
#> 18.02 14.65 17.42 19.34 17.77 18.23 20.35 23.72 12.89 19.98 20.14 12.52 18.43 
#>  37.1  41.1   164   187    79    78    81   100  45.1 184.1    52   136    56 
#> 12.52 18.02 23.60  9.92 16.23 23.88 14.06 16.07 17.42 17.77 10.42 21.83 12.21 
#>  91.1   111 149.2    13  85.1  90.2    60    18    26   139 168.2  52.1 187.1 
#>  5.33 17.45  8.37 14.34 16.44 20.94 13.15 15.21 15.77 21.49 23.72 10.42  9.92 
#>  42.1    10  18.1   177 139.1   179   194 149.3  41.2  97.1 149.4   117  81.1 
#> 12.43 10.53 15.21 12.53 21.49 18.63 22.40  8.37 18.02 19.14  8.37 17.46 14.06 
#>    57   108 113.1  56.1    32    76  41.3    58  32.1    30  10.1  60.1   134 
#> 14.46 18.29 22.86 12.21 20.90 19.22 18.02 19.34 20.90 17.43 10.53 13.15 17.81 
#>    16    93  79.1  58.1  76.1  79.2  90.3 106.1   107    29  52.2   155 113.2 
#>  8.71 10.33 16.23 19.34 19.22 16.23 20.94 16.67 11.18 15.45 10.42 13.08 22.86 
#>   135    65   173   131    31   198   148    12   109    64  12.1    48   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   162    22   191  12.2     2   121 162.1    67    19    72   2.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   156   200  64.1 173.1   2.2 162.2   103  72.1   196   176 118.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137     7    38 200.1   182    87  48.1   120    34   178   144   152  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.2    95   163  62.1   165  83.1 162.3     9   2.3    82 156.1 144.1 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17    28   138 120.1 196.1 143.1  62.2  72.2   104 165.1 120.2  95.1  62.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.4   146   116    11    74 116.1  11.1 144.2 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[16]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006073692               0.851494881               0.249164891 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.00686565              0.01964753             -0.05039212 
#>   grade_iii, Cure model 
#>              0.67484701 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 25     6.32      1  34        1         0
#> 39    15.59      1  37        0         1
#> 105   19.75      1  60        0         0
#> 159   10.55      1  50        0         1
#> 77     7.27      1  67        0         1
#> 69    23.23      1  25        0         1
#> 139   21.49      1  63        1         0
#> 179   18.63      1  42        0         0
#> 179.1 18.63      1  42        0         0
#> 49    12.19      1  48        1         0
#> 8     18.43      1  32        0         0
#> 111   17.45      1  47        0         1
#> 77.1   7.27      1  67        0         1
#> 128   20.35      1  35        0         1
#> 139.1 21.49      1  63        1         0
#> 197   21.60      1  69        1         0
#> 23    16.92      1  61        0         0
#> 175   21.91      1  43        0         0
#> 70     7.38      1  30        1         0
#> 158   20.14      1  74        1         0
#> 123   13.00      1  44        1         0
#> 110   17.56      1  65        0         1
#> 101    9.97      1  10        0         1
#> 149    8.37      1  33        1         0
#> 57    14.46      1  45        0         1
#> 168   23.72      1  70        0         0
#> 59    10.16      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 16     8.71      1  71        0         1
#> 189   10.51      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 130   16.47      1  53        0         1
#> 93    10.33      1  52        0         1
#> 70.1   7.38      1  30        1         0
#> 195   11.76      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 60    13.15      1  38        1         0
#> 92    22.92      1  47        0         1
#> 24    23.89      1  38        0         0
#> 30    17.43      1  78        0         0
#> 189.1 10.51      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 166   19.98      1  48        0         0
#> 127    3.53      1  62        0         1
#> 59.1  10.16      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 10    10.53      1  34        0         0
#> 101.1  9.97      1  10        0         1
#> 194   22.40      1  38        0         1
#> 127.1  3.53      1  62        0         1
#> 39.1  15.59      1  37        0         1
#> 127.2  3.53      1  62        0         1
#> 92.1  22.92      1  47        0         1
#> 50    10.02      1  NA        1         0
#> 158.1 20.14      1  74        1         0
#> 175.1 21.91      1  43        0         0
#> 96    14.54      1  33        0         1
#> 155   13.08      1  26        0         0
#> 69.1  23.23      1  25        0         1
#> 16.2   8.71      1  71        0         1
#> 134   17.81      1  47        1         0
#> 130.1 16.47      1  53        0         1
#> 25.1   6.32      1  34        1         0
#> 86    23.81      1  58        0         1
#> 164   23.60      1  76        0         1
#> 30.1  17.43      1  78        0         0
#> 108   18.29      1  39        0         1
#> 52    10.42      1  52        0         1
#> 97    19.14      1  65        0         1
#> 136   21.83      1  43        0         1
#> 111.1 17.45      1  47        0         1
#> 92.2  22.92      1  47        0         1
#> 134.1 17.81      1  47        1         0
#> 134.2 17.81      1  47        1         0
#> 114.1 13.68      1  NA        0         0
#> 50.1  10.02      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 15    22.68      1  48        0         0
#> 108.1 18.29      1  39        0         1
#> 149.1  8.37      1  33        1         0
#> 45.1  17.42      1  54        0         1
#> 177   12.53      1  75        0         0
#> 117   17.46      1  26        0         1
#> 108.2 18.29      1  39        0         1
#> 139.2 21.49      1  63        1         0
#> 57.1  14.46      1  45        0         1
#> 106   16.67      1  49        1         0
#> 58    19.34      1  39        0         0
#> 69.2  23.23      1  25        0         1
#> 14    12.89      1  21        0         0
#> 6     15.64      1  39        0         0
#> 58.1  19.34      1  39        0         0
#> 59.2  10.16      1  NA        1         0
#> 57.2  14.46      1  45        0         1
#> 140   12.68      1  59        1         0
#> 57.3  14.46      1  45        0         1
#> 10.1  10.53      1  34        0         0
#> 136.1 21.83      1  43        0         1
#> 60.1  13.15      1  38        1         0
#> 89    11.44      1  NA        0         0
#> 110.1 17.56      1  65        0         1
#> 187    9.92      1  39        1         0
#> 23.1  16.92      1  61        0         0
#> 113   22.86      1  34        0         0
#> 177.1 12.53      1  75        0         0
#> 24.1  23.89      1  38        0         0
#> 125   15.65      1  67        1         0
#> 164.1 23.60      1  76        0         1
#> 179.2 18.63      1  42        0         0
#> 2     24.00      0   9        0         0
#> 38    24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 31    24.00      0  36        0         1
#> 22    24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 144   24.00      0  28        0         1
#> 47    24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 198   24.00      0  66        0         1
#> 160   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 21    24.00      0  47        0         0
#> 193   24.00      0  45        0         1
#> 94    24.00      0  51        0         1
#> 3     24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 116   24.00      0  58        0         1
#> 17    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 138   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 98    24.00      0  34        1         0
#> 176   24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 116.1 24.00      0  58        0         1
#> 84    24.00      0  39        0         1
#> 44    24.00      0  56        0         0
#> 115   24.00      0  NA        1         0
#> 198.1 24.00      0  66        0         1
#> 178   24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 147   24.00      0  76        1         0
#> 46    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 87    24.00      0  27        0         0
#> 115.1 24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 48    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 47.1  24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 143.1 24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 135   24.00      0  58        1         0
#> 47.2  24.00      0  38        0         1
#> 193.1 24.00      0  45        0         1
#> 53    24.00      0  32        0         1
#> 185   24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 17.1  24.00      0  38        0         1
#> 87.1  24.00      0  27        0         0
#> 31.1  24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 165.1 24.00      0  47        0         0
#> 162   24.00      0  51        0         0
#> 2.1   24.00      0   9        0         0
#> 22.1  24.00      0  52        1         0
#> 98.2  24.00      0  34        1         0
#> 118   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 94.2  24.00      0  51        0         1
#> 21.1  24.00      0  47        0         0
#> 182   24.00      0  35        0         0
#> 1.1   24.00      0  23        1         0
#> 148   24.00      0  61        1         0
#> 65    24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 176.1 24.00      0  43        0         1
#> 48.1  24.00      0  31        1         0
#> 1.2   24.00      0  23        1         0
#> 17.2  24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 131   24.00      0  66        0         0
#> 98.3  24.00      0  34        1         0
#> 64.1  24.00      0  43        0         0
#> 178.1 24.00      0  52        1         0
#> 126   24.00      0  48        0         0
#> 148.1 24.00      0  61        1         0
#> 120   24.00      0  68        0         1
#> 20    24.00      0  46        1         0
#> 9     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.01          NA        NA      NA
#> 2 age, Cure model           0.0196        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0504        NA        NA      NA
#> 4 grade_iii, Cure model     0.675         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00607        NA        NA      NA
#> 2 grade_ii, Survival model   0.851          NA        NA      NA
#> 3 grade_iii, Survival model  0.249          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.00687           0.01965          -0.05039           0.67485  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 247.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.00686565       0.01964753      -0.05039212       0.67484701 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006073692      0.851494881      0.249164891 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.757815696 0.955358529 0.611591122 0.298475712 0.786717412 0.937179646
#>   [7] 0.066503978 0.218145520 0.339312792 0.339312792 0.767537775 0.370059269
#>  [13] 0.470602603 0.937179646 0.258393274 0.218145520 0.206725111 0.530733832
#>  [19] 0.161015532 0.919052094 0.268774504 0.709643345 0.440776595 0.834569097
#>  [25] 0.900577351 0.641423954 0.031786419 0.863065277 0.872481779 0.872481779
#>  [31] 0.561329923 0.824957695 0.919052094 0.581534958 0.680524433 0.096460201
#>  [37] 0.006036333 0.490421565 0.777168295 0.288401218 0.973229356 0.510547496
#>  [43] 0.796272684 0.834569097 0.149551797 0.973229356 0.611591122 0.973229356
#>  [49] 0.096460201 0.268774504 0.161015532 0.631432156 0.699878571 0.066503978
#>  [55] 0.872481779 0.411552030 0.561329923 0.955358529 0.021272270 0.043691642
#>  [61] 0.490421565 0.380659189 0.815353511 0.328956477 0.183851553 0.470602603
#>  [67] 0.096460201 0.411552030 0.411552030 0.247996538 0.138072194 0.380659189
#>  [73] 0.900577351 0.510547496 0.738571178 0.460601772 0.380659189 0.218145520
#>  [79] 0.641423954 0.551160777 0.308655161 0.066503978 0.719302638 0.601580742
#>  [85] 0.308655161 0.641423954 0.728977489 0.641423954 0.796272684 0.183851553
#>  [91] 0.680524433 0.440776595 0.853590909 0.530733832 0.126829371 0.738571178
#>  [97] 0.006036333 0.591605375 0.043691642 0.339312792 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    56    25    39   105   159    77    69   139   179 179.1    49     8   111 
#> 12.21  6.32 15.59 19.75 10.55  7.27 23.23 21.49 18.63 18.63 12.19 18.43 17.45 
#>  77.1   128 139.1   197    23   175    70   158   123   110   101   149    57 
#>  7.27 20.35 21.49 21.60 16.92 21.91  7.38 20.14 13.00 17.56  9.97  8.37 14.46 
#>   168   183    16  16.1   130    93  70.1    79    60    92    24    30   107 
#> 23.72  9.24  8.71  8.71 16.47 10.33  7.38 16.23 13.15 22.92 23.89 17.43 11.18 
#>   166   127    45    10 101.1   194 127.1  39.1 127.2  92.1 158.1 175.1    96 
#> 19.98  3.53 17.42 10.53  9.97 22.40  3.53 15.59  3.53 22.92 20.14 21.91 14.54 
#>   155  69.1  16.2   134 130.1  25.1    86   164  30.1   108    52    97   136 
#> 13.08 23.23  8.71 17.81 16.47  6.32 23.81 23.60 17.43 18.29 10.42 19.14 21.83 
#> 111.1  92.2 134.1 134.2    36    15 108.1 149.1  45.1   177   117 108.2 139.2 
#> 17.45 22.92 17.81 17.81 21.19 22.68 18.29  8.37 17.42 12.53 17.46 18.29 21.49 
#>  57.1   106    58  69.2    14     6  58.1  57.2   140  57.3  10.1 136.1  60.1 
#> 14.46 16.67 19.34 23.23 12.89 15.64 19.34 14.46 12.68 14.46 10.53 21.83 13.15 
#> 110.1   187  23.1   113 177.1  24.1   125 164.1 179.2     2    38   141    35 
#> 17.56  9.92 16.92 22.86 12.53 23.89 15.65 23.60 18.63 24.00 24.00 24.00 24.00 
#>   151    31    22    72   144    47   143   191   198   160   142    21   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94     3   161   116    17   112   138   196    98   176    80 116.1    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44 198.1   178    71  94.1   147    46    64    87    19    48   119  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 143.1   146   135  47.2 193.1    53   185  98.1  17.1  87.1  31.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1 165.1   162   2.1  22.1  98.2   118    82  94.2  21.1   182   1.1   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65   109 176.1  48.1   1.2  17.2     7   131  98.3  64.1 178.1   126 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    20     9    28 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[17]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006226997               0.294295928               0.126432413 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.91986478              0.01156552              0.53106061 
#>   grade_iii, Cure model 
#>              1.07769566 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 18    15.21      1  49        1         0
#> 105   19.75      1  60        0         0
#> 52    10.42      1  52        0         1
#> 32    20.90      1  37        1         0
#> 128   20.35      1  35        0         1
#> 189   10.51      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 60    13.15      1  38        1         0
#> 184   17.77      1  38        0         0
#> 79    16.23      1  54        1         0
#> 68    20.62      1  44        0         0
#> 195   11.76      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 77     7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 55    19.34      1  69        0         1
#> 187    9.92      1  39        1         0
#> 55.1  19.34      1  69        0         1
#> 56    12.21      1  60        0         0
#> 23    16.92      1  61        0         0
#> 99    21.19      1  38        0         1
#> 99.1  21.19      1  38        0         1
#> 55.2  19.34      1  69        0         1
#> 77.1   7.27      1  67        0         1
#> 125   15.65      1  67        1         0
#> 125.1 15.65      1  67        1         0
#> 40    18.00      1  28        1         0
#> 195.1 11.76      1  NA        1         0
#> 68.1  20.62      1  44        0         0
#> 125.2 15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 127    3.53      1  62        0         1
#> 4     17.64      1  NA        0         1
#> 166   19.98      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 149    8.37      1  33        1         0
#> 50    10.02      1  NA        1         0
#> 13.1  14.34      1  54        0         1
#> 145   10.07      1  65        1         0
#> 70     7.38      1  30        1         0
#> 43    12.10      1  61        0         1
#> 97    19.14      1  65        0         1
#> 18.1  15.21      1  49        1         0
#> 149.1  8.37      1  33        1         0
#> 181.1 16.46      1  45        0         1
#> 77.2   7.27      1  67        0         1
#> 130   16.47      1  53        0         1
#> 133.1 14.65      1  57        0         0
#> 183    9.24      1  67        1         0
#> 88    18.37      1  47        0         0
#> 15    22.68      1  48        0         0
#> 93    10.33      1  52        0         1
#> 111   17.45      1  47        0         1
#> 180   14.82      1  37        0         0
#> 43.1  12.10      1  61        0         1
#> 177   12.53      1  75        0         0
#> 91     5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 171   16.57      1  41        0         1
#> 114   13.68      1  NA        0         0
#> 190   20.81      1  42        1         0
#> 93.1  10.33      1  52        0         1
#> 164   23.60      1  76        0         1
#> 66    22.13      1  53        0         0
#> 111.1 17.45      1  47        0         1
#> 49    12.19      1  48        1         0
#> 195.2 11.76      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 154   12.63      1  20        1         0
#> 188   16.16      1  46        0         1
#> 32.1  20.90      1  37        1         0
#> 86    23.81      1  58        0         1
#> 56.1  12.21      1  60        0         0
#> 139   21.49      1  63        1         0
#> 117   17.46      1  26        0         1
#> 188.1 16.16      1  46        0         1
#> 128.1 20.35      1  35        0         1
#> 177.1 12.53      1  75        0         0
#> 170.1 19.54      1  43        0         1
#> 37    12.52      1  57        1         0
#> 90    20.94      1  50        0         1
#> 18.2  15.21      1  49        1         0
#> 49.1  12.19      1  48        1         0
#> 70.1   7.38      1  30        1         0
#> 125.3 15.65      1  67        1         0
#> 14    12.89      1  21        0         0
#> 86.1  23.81      1  58        0         1
#> 55.3  19.34      1  69        0         1
#> 117.1 17.46      1  26        0         1
#> 77.3   7.27      1  67        0         1
#> 166.1 19.98      1  48        0         0
#> 58    19.34      1  39        0         0
#> 61    10.12      1  36        0         1
#> 93.2  10.33      1  52        0         1
#> 16     8.71      1  71        0         1
#> 32.2  20.90      1  37        1         0
#> 108   18.29      1  39        0         1
#> 14.1  12.89      1  21        0         0
#> 81    14.06      1  34        0         0
#> 153   21.33      1  55        1         0
#> 10    10.53      1  34        0         0
#> 5     16.43      1  51        0         1
#> 179   18.63      1  42        0         0
#> 97.1  19.14      1  65        0         1
#> 129   23.41      1  53        1         0
#> 69    23.23      1  25        0         1
#> 105.1 19.75      1  60        0         0
#> 149.2  8.37      1  33        1         0
#> 63    22.77      1  31        1         0
#> 52.1  10.42      1  52        0         1
#> 157   15.10      1  47        0         0
#> 9     24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 34    24.00      0  36        0         0
#> 48    24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 46    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 71    24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 9.1   24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 7     24.00      0  37        1         0
#> 44.1  24.00      0  56        0         0
#> 146   24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 11    24.00      0  42        0         1
#> 33    24.00      0  53        0         0
#> 83.1  24.00      0   6        0         0
#> 28    24.00      0  67        1         0
#> 148   24.00      0  61        1         0
#> 148.1 24.00      0  61        1         0
#> 116   24.00      0  58        0         1
#> 38.1  24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 122   24.00      0  66        0         0
#> 62.1  24.00      0  71        0         0
#> 165.1 24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 11.1  24.00      0  42        0         1
#> 28.1  24.00      0  67        1         0
#> 84    24.00      0  39        0         1
#> 71.1  24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 73    24.00      0  NA        0         1
#> 1     24.00      0  23        1         0
#> 116.1 24.00      0  58        0         1
#> 19    24.00      0  57        0         1
#> 31    24.00      0  36        0         1
#> 146.1 24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 109   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 172   24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 27    24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 172.1 24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 33.1  24.00      0  53        0         0
#> 196   24.00      0  19        0         0
#> 193   24.00      0  45        0         1
#> 143   24.00      0  51        0         0
#> 122.1 24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 9.2   24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 162   24.00      0  51        0         0
#> 138.1 24.00      0  44        1         0
#> 122.2 24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 47.1  24.00      0  38        0         1
#> 12.1  24.00      0  63        0         0
#> 126   24.00      0  48        0         0
#> 21.1  24.00      0  47        0         0
#> 20.1  24.00      0  46        1         0
#> 2     24.00      0   9        0         0
#> 11.2  24.00      0  42        0         1
#> 142.1 24.00      0  53        0         0
#> 19.1  24.00      0  57        0         1
#> 176   24.00      0  43        0         1
#> 165.2 24.00      0  47        0         0
#> 38.2  24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 94    24.00      0  51        0         1
#> 12.2  24.00      0  63        0         0
#> 84.1  24.00      0  39        0         1
#> 186   24.00      0  45        1         0
#> 31.1  24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.920         NA        NA      NA
#> 2 age, Cure model           0.0116        NA        NA      NA
#> 3 grade_ii, Cure model      0.531         NA        NA      NA
#> 4 grade_iii, Cure model     1.08          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00623        NA        NA      NA
#> 2 grade_ii, Survival model   0.294          NA        NA      NA
#> 3 grade_iii, Survival model  0.126          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.91986           0.01157           0.53106           1.07770  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 251.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.91986478       0.01156552       0.53106061       1.07769566 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006226997      0.294295928      0.126432413 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.69619794 0.41023943 0.86636418 0.30194890 0.36828818 0.74757712
#>   [7] 0.76918635 0.54910801 0.64213929 0.34660399 0.61750262 0.96330025
#>  [13] 0.03458569 0.45041350 0.91249881 0.45041350 0.81870787 0.59216587
#>  [19] 0.26419268 0.26419268 0.45041350 0.96330025 0.66618730 0.66618730
#>  [25] 0.54027800 0.34660399 0.66618730 0.73301817 0.99388297 0.38946038
#>  [31] 0.93188465 0.74757712 0.90596068 0.95077049 0.84613294 0.49532959
#>  [37] 0.69619794 0.93188465 0.61750262 0.96330025 0.60912041 0.73301817
#>  [43] 0.91900380 0.52237638 0.19029937 0.87970006 0.57516588 0.72563943
#>  [49] 0.84613294 0.79770348 0.98774063 0.43055272 0.60067095 0.33536179
#>  [55] 0.87970006 0.11849086 0.20612966 0.57516588 0.83251184 0.22149921
#>  [61] 0.79058790 0.65025640 0.30194890 0.07615163 0.81870787 0.23654867
#>  [67] 0.55790028 0.65025640 0.36828818 0.79770348 0.43055272 0.81172297
#>  [73] 0.28937722 0.69619794 0.83251184 0.95077049 0.66618730 0.77635444
#>  [79] 0.07615163 0.45041350 0.55790028 0.96330025 0.38946038 0.45041350
#>  [85] 0.89937445 0.87970006 0.92546138 0.30194890 0.53136086 0.77635444
#>  [91] 0.76197116 0.25070954 0.85961104 0.63393101 0.51333906 0.49532959
#>  [97] 0.13871653 0.15667930 0.41023943 0.93188465 0.17399775 0.86636418
#> [103] 0.71824120 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    18   105    52    32   128    13    60   184    79    68   181    77    24 
#> 15.21 19.75 10.42 20.90 20.35 14.34 13.15 17.77 16.23 20.62 16.46  7.27 23.89 
#>    55   187  55.1    56    23    99  99.1  55.2  77.1   125 125.1    40  68.1 
#> 19.34  9.92 19.34 12.21 16.92 21.19 21.19 19.34  7.27 15.65 15.65 18.00 20.62 
#> 125.2   133   127   166   149  13.1   145    70    43    97  18.1 149.1 181.1 
#> 15.65 14.65  3.53 19.98  8.37 14.34 10.07  7.38 12.10 19.14 15.21  8.37 16.46 
#>  77.2   130 133.1   183    88    15    93   111   180  43.1   177    91   170 
#>  7.27 16.47 14.65  9.24 18.37 22.68 10.33 17.45 14.82 12.10 12.53  5.33 19.54 
#>   171   190  93.1   164    66 111.1    49   175   154   188  32.1    86  56.1 
#> 16.57 20.81 10.33 23.60 22.13 17.45 12.19 21.91 12.63 16.16 20.90 23.81 12.21 
#>   139   117 188.1 128.1 177.1 170.1    37    90  18.2  49.1  70.1 125.3    14 
#> 21.49 17.46 16.16 20.35 12.53 19.54 12.52 20.94 15.21 12.19  7.38 15.65 12.89 
#>  86.1  55.3 117.1  77.3 166.1    58    61  93.2    16  32.2   108  14.1    81 
#> 23.81 19.34 17.46  7.27 19.98 19.34 10.12 10.33  8.71 20.90 18.29 12.89 14.06 
#>   153    10     5   179  97.1   129    69 105.1 149.2    63  52.1   157     9 
#> 21.33 10.53 16.43 18.63 19.14 23.41 23.23 19.75  8.37 22.77 10.42 15.10 24.00 
#>    44   165    12    34    48    38    74    83    46    64    71   142   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21     7  44.1   146   119    11    33  83.1    28   148 148.1   116  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    62   182   122  62.1 165.1   121  11.1  28.1    84  71.1 120.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173     1 116.1    19    31 146.1   185    47   109    20   172   138    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    95 172.1    54  33.1   196   193   143 122.1   174   9.2  34.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1 122.2    87  47.1  12.1   126  21.1  20.1     2  11.2 142.1  19.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.2  38.2   7.1    94  12.2  84.1   186  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[18]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004386588               0.630176104               0.566364964 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.099164180            -0.001680121            -0.172055086 
#>   grade_iii, Cure model 
#>             1.278939420 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 167   15.55      1  56        1         0
#> 168   23.72      1  70        0         0
#> 23    16.92      1  61        0         0
#> 108   18.29      1  39        0         1
#> 13    14.34      1  54        0         1
#> 18    15.21      1  49        1         0
#> 187    9.92      1  39        1         0
#> 76    19.22      1  54        0         1
#> 39    15.59      1  37        0         1
#> 169   22.41      1  46        0         0
#> 81    14.06      1  34        0         0
#> 26    15.77      1  49        0         1
#> 106   16.67      1  49        1         0
#> 66    22.13      1  53        0         0
#> 192   16.44      1  31        1         0
#> 124    9.73      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 15    22.68      1  48        0         0
#> 32    20.90      1  37        1         0
#> 66.1  22.13      1  53        0         0
#> 66.2  22.13      1  53        0         0
#> 42    12.43      1  49        0         1
#> 58    19.34      1  39        0         0
#> 5     16.43      1  51        0         1
#> 59    10.16      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 108.1 18.29      1  39        0         1
#> 96    14.54      1  33        0         1
#> 166   19.98      1  48        0         0
#> 56.1  12.21      1  60        0         0
#> 187.1  9.92      1  39        1         0
#> 45    17.42      1  54        0         1
#> 106.1 16.67      1  49        1         0
#> 32.1  20.90      1  37        1         0
#> 114   13.68      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 91     5.33      1  61        0         1
#> 97    19.14      1  65        0         1
#> 117   17.46      1  26        0         1
#> 16     8.71      1  71        0         1
#> 181   16.46      1  45        0         1
#> 37    12.52      1  57        1         0
#> 51    18.23      1  83        0         1
#> 187.2  9.92      1  39        1         0
#> 66.3  22.13      1  53        0         0
#> 187.3  9.92      1  39        1         0
#> 97.1  19.14      1  65        0         1
#> 96.1  14.54      1  33        0         1
#> 100   16.07      1  60        0         0
#> 96.2  14.54      1  33        0         1
#> 25     6.32      1  34        1         0
#> 164   23.60      1  76        0         1
#> 24    23.89      1  38        0         0
#> 81.1  14.06      1  34        0         0
#> 26.1  15.77      1  49        0         1
#> 139   21.49      1  63        1         0
#> 171   16.57      1  41        0         1
#> 194   22.40      1  38        0         1
#> 92    22.92      1  47        0         1
#> 59.1  10.16      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 194.1 22.40      1  38        0         1
#> 43    12.10      1  61        0         1
#> 130   16.47      1  53        0         1
#> 197   21.60      1  69        1         0
#> 188   16.16      1  46        0         1
#> 139.1 21.49      1  63        1         0
#> 63    22.77      1  31        1         0
#> 52    10.42      1  52        0         1
#> 57.1  14.46      1  45        0         1
#> 155   13.08      1  26        0         0
#> 124.1  9.73      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 195   11.76      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 127    3.53      1  62        0         1
#> 96.3  14.54      1  33        0         1
#> 128   20.35      1  35        0         1
#> 91.1   5.33      1  61        0         1
#> 128.1 20.35      1  35        0         1
#> 60    13.15      1  38        1         0
#> 59.2  10.16      1  NA        1         0
#> 128.2 20.35      1  35        0         1
#> 101    9.97      1  10        0         1
#> 15.1  22.68      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 56.2  12.21      1  60        0         0
#> 154   12.63      1  20        1         0
#> 113   22.86      1  34        0         0
#> 36    21.19      1  48        0         1
#> 127.1  3.53      1  62        0         1
#> 43.1  12.10      1  61        0         1
#> 92.1  22.92      1  47        0         1
#> 125   15.65      1  67        1         0
#> 139.2 21.49      1  63        1         0
#> 100.1 16.07      1  60        0         0
#> 171.1 16.57      1  41        0         1
#> 140   12.68      1  59        1         0
#> 37.1  12.52      1  57        1         0
#> 127.2  3.53      1  62        0         1
#> 30    17.43      1  78        0         0
#> 192.1 16.44      1  31        1         0
#> 195.1 11.76      1  NA        1         0
#> 155.1 13.08      1  26        0         0
#> 159   10.55      1  50        0         1
#> 140.1 12.68      1  59        1         0
#> 110   17.56      1  65        0         1
#> 52.1  10.42      1  52        0         1
#> 169.1 22.41      1  46        0         0
#> 49    12.19      1  48        1         0
#> 161   24.00      0  45        0         0
#> 118   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 103   24.00      0  56        1         0
#> 147   24.00      0  76        1         0
#> 67    24.00      0  25        0         0
#> 82    24.00      0  34        0         0
#> 121   24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 119   24.00      0  17        0         0
#> 148   24.00      0  61        1         0
#> 156   24.00      0  50        1         0
#> 172   24.00      0  41        0         0
#> 121.1 24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 87    24.00      0  27        0         0
#> 53    24.00      0  32        0         1
#> 54    24.00      0  53        1         0
#> 185   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 141.1 24.00      0  44        1         0
#> 82.1  24.00      0  34        0         0
#> 162   24.00      0  51        0         0
#> 103.1 24.00      0  56        1         0
#> 80    24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 53.1  24.00      0  32        0         1
#> 33.1  24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 143   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 148.1 24.00      0  61        1         0
#> 87.1  24.00      0  27        0         0
#> 95    24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 54.1  24.00      0  53        1         0
#> 191   24.00      0  60        0         1
#> 118.1 24.00      0  44        1         0
#> 185.1 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 148.2 24.00      0  61        1         0
#> 67.1  24.00      0  25        0         0
#> 138.1 24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 186   24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 103.2 24.00      0  56        1         0
#> 109.1 24.00      0  48        0         0
#> 87.2  24.00      0  27        0         0
#> 135.1 24.00      0  58        1         0
#> 174.1 24.00      0  49        1         0
#> 141.2 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 148.3 24.00      0  61        1         0
#> 144   24.00      0  28        0         1
#> 27    24.00      0  63        1         0
#> 46    24.00      0  71        0         0
#> 102   24.00      0  49        0         0
#> 191.1 24.00      0  60        0         1
#> 19    24.00      0  57        0         1
#> 47.1  24.00      0  38        0         1
#> 163   24.00      0  66        0         0
#> 47.2  24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 33.2  24.00      0  53        0         0
#> 141.3 24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 162.1 24.00      0  51        0         0
#> 27.1  24.00      0  63        1         0
#> 118.2 24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 27.2  24.00      0  63        1         0
#> 138.2 24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 131   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 103.3 24.00      0  56        1         0
#> 19.1  24.00      0  57        0         1
#> 19.2  24.00      0  57        0         1
#> 196   24.00      0  19        0         0
#> 74    24.00      0  43        0         1
#> 151   24.00      0  42        0         0
#> 19.3  24.00      0  57        0         1
#> 27.3  24.00      0  63        1         0
#> 28.1  24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0992         NA        NA      NA
#> 2 age, Cure model         -0.00168        NA        NA      NA
#> 3 grade_ii, Cure model    -0.172          NA        NA      NA
#> 4 grade_iii, Cure model    1.28           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00439        NA        NA      NA
#> 2 grade_ii, Survival model   0.630          NA        NA      NA
#> 3 grade_iii, Survival model  0.566          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.09916          -0.00168          -0.17206           1.27894  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 242.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.099164180     -0.001680121     -0.172055086      1.278939420 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004386588      0.630176104      0.566364964 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.829153856 0.655426931 0.023153127 0.491848716 0.423349492 0.722539610
#>   [7] 0.664153503 0.916750227 0.392894902 0.646645537 0.154184463 0.730844472
#>  [13] 0.620147435 0.501575761 0.203977567 0.557580701 0.901008113 0.129216005
#>  [19] 0.320372200 0.203977567 0.203977567 0.821101980 0.382437128 0.584334657
#>  [25] 0.298046671 0.423349492 0.672821454 0.372024142 0.829153856 0.916750227
#>  [31] 0.482166630 0.501575761 0.320372200 0.705951365 0.962449693 0.403245184
#>  [37] 0.462707599 0.947141694 0.548346263 0.805011071 0.443001602 0.916750227
#>  [43] 0.203977567 0.916750227 0.403245184 0.672821454 0.602276290 0.672821454
#>  [49] 0.954814644 0.043563263 0.007104593 0.730844472 0.620147435 0.264048483
#>  [55] 0.520467841 0.179922251 0.077989632 0.772186815 0.179922251 0.861300833
#>  [61] 0.539041909 0.251474704 0.593335305 0.264048483 0.116559226 0.885231688
#>  [67] 0.705951365 0.755687372 0.061916000 0.557580701 0.977575991 0.672821454
#>  [73] 0.341807500 0.962449693 0.341807500 0.747411712 0.341807500 0.908902558
#>  [79] 0.129216005 0.829153856 0.796849179 0.102961247 0.298046671 0.977575991
#>  [85] 0.861300833 0.077989632 0.637804367 0.264048483 0.602276290 0.520467841
#>  [91] 0.780488931 0.805011071 0.977575991 0.472408081 0.557580701 0.755687372
#>  [97] 0.877250507 0.780488931 0.452889403 0.885231688 0.154184463 0.853236491
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    56   167   168    23   108    13    18   187    76    39   169    81    26 
#> 12.21 15.55 23.72 16.92 18.29 14.34 15.21  9.92 19.22 15.59 22.41 14.06 15.77 
#>   106    66   192   145    15    32  66.1  66.2    42    58     5    99 108.1 
#> 16.67 22.13 16.44 10.07 22.68 20.90 22.13 22.13 12.43 19.34 16.43 21.19 18.29 
#>    96   166  56.1 187.1    45 106.1  32.1    57    91    97   117    16   181 
#> 14.54 19.98 12.21  9.92 17.42 16.67 20.90 14.46  5.33 19.14 17.46  8.71 16.46 
#>    37    51 187.2  66.3 187.3  97.1  96.1   100  96.2    25   164    24  81.1 
#> 12.52 18.23  9.92 22.13  9.92 19.14 14.54 16.07 14.54  6.32 23.60 23.89 14.06 
#>  26.1   139   171   194    92    14 194.1    43   130   197   188 139.1    63 
#> 15.77 21.49 16.57 22.40 22.92 12.89 22.40 12.10 16.47 21.60 16.16 21.49 22.77 
#>    52  57.1   155   129    85   127  96.3   128  91.1 128.1    60 128.2   101 
#> 10.42 14.46 13.08 23.41 16.44  3.53 14.54 20.35  5.33 20.35 13.15 20.35  9.97 
#>  15.1  56.2   154   113    36 127.1  43.1  92.1   125 139.2 100.1 171.1   140 
#> 22.68 12.21 12.63 22.86 21.19  3.53 12.10 22.92 15.65 21.49 16.07 16.57 12.68 
#>  37.1 127.2    30 192.1 155.1   159 140.1   110  52.1 169.1    49   161   118 
#> 12.52  3.53 17.43 16.44 13.08 10.55 12.68 17.56 10.42 22.41 12.19 24.00 24.00 
#>   138   103   147    67    82   121    47   119   148   156   172 121.1   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    53    54   185    44 141.1  82.1   162 103.1    80    33  53.1  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   143    11 148.1  87.1    95   146  54.1   191 118.1 185.1   135 148.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1 138.1   174   186   109    20 103.2 109.1  87.2 135.1 174.1 141.2   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.3   144    27    46   102 191.1    19  47.1   163  47.2    83  33.2 141.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 162.1  27.1 118.2     1  27.2 138.2    35    28   131    62 103.3  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.2   196    74   151  19.3  27.3  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[19]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002044053               0.406759465               0.262490506 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.78542945              0.01238531             -0.07389813 
#>   grade_iii, Cure model 
#>              1.13963215 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 153   21.33      1  55        1         0
#> 123   13.00      1  44        1         0
#> 100   16.07      1  60        0         0
#> 90    20.94      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 14    12.89      1  21        0         0
#> 177   12.53      1  75        0         0
#> 192   16.44      1  31        1         0
#> 150   20.33      1  48        0         0
#> 154   12.63      1  20        1         0
#> 91     5.33      1  61        0         1
#> 36    21.19      1  48        0         1
#> 171   16.57      1  41        0         1
#> 25     6.32      1  34        1         0
#> 59.1  10.16      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 166   19.98      1  48        0         0
#> 91.1   5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 197   21.60      1  69        1         0
#> 155   13.08      1  26        0         0
#> 123.1 13.00      1  44        1         0
#> 97    19.14      1  65        0         1
#> 52    10.42      1  52        0         1
#> 52.1  10.42      1  52        0         1
#> 37    12.52      1  57        1         0
#> 106   16.67      1  49        1         0
#> 30    17.43      1  78        0         0
#> 177.1 12.53      1  75        0         0
#> 97.1  19.14      1  65        0         1
#> 175   21.91      1  43        0         0
#> 91.2   5.33      1  61        0         1
#> 99    21.19      1  38        0         1
#> 192.1 16.44      1  31        1         0
#> 61    10.12      1  36        0         1
#> 59.2  10.16      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 110   17.56      1  65        0         1
#> 113   22.86      1  34        0         0
#> 5     16.43      1  51        0         1
#> 124    9.73      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 117   17.46      1  26        0         1
#> 32    20.90      1  37        1         0
#> 91.3   5.33      1  61        0         1
#> 39    15.59      1  37        0         1
#> 13.1  14.34      1  54        0         1
#> 86    23.81      1  58        0         1
#> 96    14.54      1  33        0         1
#> 43    12.10      1  61        0         1
#> 15    22.68      1  48        0         0
#> 92    22.92      1  47        0         1
#> 13.2  14.34      1  54        0         1
#> 157   15.10      1  47        0         0
#> 69    23.23      1  25        0         1
#> 59.3  10.16      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 41    18.02      1  40        1         0
#> 150.1 20.33      1  48        0         0
#> 45    17.42      1  54        0         1
#> 56    12.21      1  60        0         0
#> 107   11.18      1  54        1         0
#> 127    3.53      1  62        0         1
#> 68    20.62      1  44        0         0
#> 117.1 17.46      1  26        0         1
#> 168   23.72      1  70        0         0
#> 127.1  3.53      1  62        0         1
#> 136   21.83      1  43        0         1
#> 61.1  10.12      1  36        0         1
#> 26    15.77      1  49        0         1
#> 32.1  20.90      1  37        1         0
#> 105   19.75      1  60        0         0
#> 60    13.15      1  38        1         0
#> 99.1  21.19      1  38        0         1
#> 4     17.64      1  NA        0         1
#> 107.1 11.18      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 91.4   5.33      1  61        0         1
#> 91.5   5.33      1  61        0         1
#> 133   14.65      1  57        0         0
#> 68.1  20.62      1  44        0         0
#> 81    14.06      1  34        0         0
#> 170.1 19.54      1  43        0         1
#> 129.1 23.41      1  53        1         0
#> 96.1  14.54      1  33        0         1
#> 105.1 19.75      1  60        0         0
#> 107.2 11.18      1  54        1         0
#> 24    23.89      1  38        0         0
#> 49    12.19      1  48        1         0
#> 100.1 16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 164.1 23.60      1  76        0         1
#> 90.1  20.94      1  50        0         1
#> 29    15.45      1  68        1         0
#> 171.1 16.57      1  41        0         1
#> 180   14.82      1  37        0         0
#> 41.1  18.02      1  40        1         0
#> 50    10.02      1  NA        1         0
#> 107.3 11.18      1  54        1         0
#> 77     7.27      1  67        0         1
#> 29.1  15.45      1  68        1         0
#> 36.1  21.19      1  48        0         1
#> 39.1  15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 52.2  10.42      1  52        0         1
#> 66    22.13      1  53        0         0
#> 66.1  22.13      1  53        0         0
#> 45.1  17.42      1  54        0         1
#> 104   24.00      0  50        1         0
#> 98    24.00      0  34        1         0
#> 98.1  24.00      0  34        1         0
#> 162   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 44    24.00      0  56        0         0
#> 193   24.00      0  45        0         1
#> 103   24.00      0  56        1         0
#> 162.1 24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 103.1 24.00      0  56        1         0
#> 185   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 162.2 24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 3     24.00      0  31        1         0
#> 103.2 24.00      0  56        1         0
#> 84    24.00      0  39        0         1
#> 191   24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 94    24.00      0  51        0         1
#> 103.3 24.00      0  56        1         0
#> 138   24.00      0  44        1         0
#> 44.1  24.00      0  56        0         0
#> 104.1 24.00      0  50        1         0
#> 116.1 24.00      0  58        0         1
#> 104.2 24.00      0  50        1         0
#> 71    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 17.1  24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 84.1  24.00      0  39        0         1
#> 71.1  24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 98.2  24.00      0  34        1         0
#> 143   24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 109   24.00      0  48        0         0
#> 84.2  24.00      0  39        0         1
#> 20    24.00      0  46        1         0
#> 44.2  24.00      0  56        0         0
#> 21.1  24.00      0  47        0         0
#> 138.1 24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 38    24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 144   24.00      0  28        0         1
#> 142   24.00      0  53        0         0
#> 98.3  24.00      0  34        1         0
#> 72    24.00      0  40        0         1
#> 71.2  24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 22.1  24.00      0  52        1         0
#> 116.2 24.00      0  58        0         1
#> 94.1  24.00      0  51        0         1
#> 33.1  24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 33.2  24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 35.1  24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 33.3  24.00      0  53        0         0
#> 162.3 24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 178.1 24.00      0  52        1         0
#> 46    24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 121   24.00      0  57        1         0
#> 46.1  24.00      0  71        0         0
#> 162.4 24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 122.1 24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 21.2  24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 31.1  24.00      0  36        0         1
#> 160.1 24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 160.2 24.00      0  31        1         0
#> 17.2  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.785         NA        NA      NA
#> 2 age, Cure model           0.0124        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0739        NA        NA      NA
#> 4 grade_iii, Cure model     1.14          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00204        NA        NA      NA
#> 2 grade_ii, Survival model   0.407          NA        NA      NA
#> 3 grade_iii, Survival model  0.262          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.78543           0.01239          -0.07390           1.13963  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 245.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.78542945       0.01238531      -0.07389813       1.13963215 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002044053      0.406759465      0.262490506 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.210939465 0.742301423 0.570231064 0.260924998 0.688707415 0.759971456
#>   [7] 0.777708960 0.533564929 0.320158650 0.768862804 0.933404255 0.221824218
#>  [13] 0.514893987 0.924851256 0.144016078 0.339907944 0.933404255 0.369900254
#>  [19] 0.199859210 0.733333147 0.742301423 0.389639737 0.873511464 0.873511464
#>  [25] 0.795357404 0.505404412 0.476857587 0.777708960 0.389639737 0.177189054
#>  [31] 0.933404255 0.221824218 0.533564929 0.899155821 0.076481276 0.051957123
#>  [37] 0.438482831 0.121304179 0.560969550 0.467266543 0.448211248 0.280997296
#>  [43] 0.933404255 0.607164408 0.688707415 0.022881093 0.670704210 0.821866688
#>  [49] 0.132614420 0.110064999 0.688707415 0.643393427 0.098615346 0.597940489
#>  [55] 0.419183258 0.320158650 0.486477151 0.804197913 0.830669770 0.983166568
#>  [61] 0.300522900 0.448211248 0.037005358 0.983166568 0.188588991 0.899155821
#>  [67] 0.588672294 0.280997296 0.349958063 0.724370546 0.221824218 0.830669770
#>  [73] 0.864834828 0.933404255 0.933404255 0.661588339 0.300522900 0.715364522
#>  [79] 0.369900254 0.076481276 0.670704210 0.349958063 0.830669770 0.007764334
#>  [85] 0.813049654 0.570231064 0.409242016 0.051957123 0.260924998 0.625359446
#>  [91] 0.514893987 0.652486262 0.419183258 0.830669770 0.916266413 0.625359446
#>  [97] 0.221824218 0.607164408 0.533564929 0.873511464 0.155237939 0.155237939
#> [103] 0.486477151 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   153   123   100    90    13    14   177   192   150   154    91    36   171 
#> 21.33 13.00 16.07 20.94 14.34 12.89 12.53 16.44 20.33 12.63  5.33 21.19 16.57 
#>    25   194   166  91.1   170   197   155 123.1    97    52  52.1    37   106 
#>  6.32 22.40 19.98  5.33 19.54 21.60 13.08 13.00 19.14 10.42 10.42 12.52 16.67 
#>    30 177.1  97.1   175  91.2    99 192.1    61   129   164   110   113     5 
#> 17.43 12.53 19.14 21.91  5.33 21.19 16.44 10.12 23.41 23.60 17.56 22.86 16.43 
#>   111   117    32  91.3    39  13.1    86    96    43    15    92  13.2   157 
#> 17.45 17.46 20.90  5.33 15.59 14.34 23.81 14.54 12.10 22.68 22.92 14.34 15.10 
#>    69   125    41 150.1    45    56   107   127    68 117.1   168 127.1   136 
#> 23.23 15.65 18.02 20.33 17.42 12.21 11.18  3.53 20.62 17.46 23.72  3.53 21.83 
#>  61.1    26  32.1   105    60  99.1 107.1    10  91.4  91.5   133  68.1    81 
#> 10.12 15.77 20.90 19.75 13.15 21.19 11.18 10.53  5.33  5.33 14.65 20.62 14.06 
#> 170.1 129.1  96.1 105.1 107.2    24    49 100.1   179 164.1  90.1    29 171.1 
#> 19.54 23.41 14.54 19.75 11.18 23.89 12.19 16.07 18.63 23.60 20.94 15.45 16.57 
#>   180  41.1 107.3    77  29.1  36.1  39.1    85  52.2    66  66.1  45.1   104 
#> 14.82 18.02 11.18  7.27 15.45 21.19 15.59 16.44 10.42 22.13 22.13 17.42 24.00 
#>    98  98.1   162    21    44   193   103 162.1    17    27 103.1   185     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.2    47   148     3 103.2    84   191   116    94 103.3   138  44.1 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1 104.2    71    22  17.1   156  84.1  71.1   160  98.2   143   122   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    35   109  84.2    20  44.2  21.1 138.1     1    38    33   144   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.3    72  71.2    65  22.1 116.2  94.1  33.1   163  33.2   131    75  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67  33.3 162.3  72.1 178.1    46   147   121  46.1 162.4    31 122.1   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.2   135  31.1 160.1    87 160.2  17.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[20]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001110667               0.556745959               0.591762820 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.286857851             0.004737612            -0.017758526 
#>   grade_iii, Cure model 
#>             0.841796916 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 90    20.94      1  50        0         1
#> 36    21.19      1  48        0         1
#> 108   18.29      1  39        0         1
#> 30    17.43      1  78        0         0
#> 85    16.44      1  36        0         0
#> 76    19.22      1  54        0         1
#> 61    10.12      1  36        0         1
#> 56    12.21      1  60        0         0
#> 168   23.72      1  70        0         0
#> 154   12.63      1  20        1         0
#> 128   20.35      1  35        0         1
#> 177   12.53      1  75        0         0
#> 111   17.45      1  47        0         1
#> 70     7.38      1  30        1         0
#> 60    13.15      1  38        1         0
#> 69    23.23      1  25        0         1
#> 189   10.51      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 158   20.14      1  74        1         0
#> 58    19.34      1  39        0         0
#> 166   19.98      1  48        0         0
#> 14    12.89      1  21        0         0
#> 125   15.65      1  67        1         0
#> 190   20.81      1  42        1         0
#> 61.1  10.12      1  36        0         1
#> 128.1 20.35      1  35        0         1
#> 13    14.34      1  54        0         1
#> 166.1 19.98      1  48        0         0
#> 77     7.27      1  67        0         1
#> 177.1 12.53      1  75        0         0
#> 166.2 19.98      1  48        0         0
#> 56.1  12.21      1  60        0         0
#> 6     15.64      1  39        0         0
#> 41    18.02      1  40        1         0
#> 125.1 15.65      1  67        1         0
#> 164   23.60      1  76        0         1
#> 68    20.62      1  44        0         0
#> 111.1 17.45      1  47        0         1
#> 167   15.55      1  56        1         0
#> 59    10.16      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 93    10.33      1  52        0         1
#> 195   11.76      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 129   23.41      1  53        1         0
#> 188   16.16      1  46        0         1
#> 189.1 10.51      1  NA        1         0
#> 13.1  14.34      1  54        0         1
#> 171   16.57      1  41        0         1
#> 24    23.89      1  38        0         0
#> 88    18.37      1  47        0         0
#> 167.1 15.55      1  56        1         0
#> 153   21.33      1  55        1         0
#> 76.1  19.22      1  54        0         1
#> 56.2  12.21      1  60        0         0
#> 15    22.68      1  48        0         0
#> 187    9.92      1  39        1         0
#> 181   16.46      1  45        0         1
#> 88.1  18.37      1  47        0         0
#> 14.1  12.89      1  21        0         0
#> 195.1 11.76      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 56.3  12.21      1  60        0         0
#> 110   17.56      1  65        0         1
#> 70.1   7.38      1  30        1         0
#> 45    17.42      1  54        0         1
#> 175   21.91      1  43        0         0
#> 175.1 21.91      1  43        0         0
#> 77.1   7.27      1  67        0         1
#> 188.1 16.16      1  46        0         1
#> 15.1  22.68      1  48        0         0
#> 181.2 16.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 184   17.77      1  38        0         0
#> 58.2  19.34      1  39        0         0
#> 130   16.47      1  53        0         1
#> 58.3  19.34      1  39        0         0
#> 52    10.42      1  52        0         1
#> 133   14.65      1  57        0         0
#> 81    14.06      1  34        0         0
#> 170   19.54      1  43        0         1
#> 100   16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 57    14.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 40    18.00      1  28        1         0
#> 25.1   6.32      1  34        1         0
#> 78    23.88      1  43        0         0
#> 39    15.59      1  37        0         1
#> 175.2 21.91      1  43        0         0
#> 158.1 20.14      1  74        1         0
#> 51    18.23      1  83        0         1
#> 40.1  18.00      1  28        1         0
#> 169   22.41      1  46        0         0
#> 59.1  10.16      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 24.1  23.89      1  38        0         0
#> 23    16.92      1  61        0         0
#> 101    9.97      1  10        0         1
#> 166.3 19.98      1  48        0         0
#> 128.2 20.35      1  35        0         1
#> 127    3.53      1  62        0         1
#> 166.4 19.98      1  48        0         0
#> 24.2  23.89      1  38        0         0
#> 134   17.81      1  47        1         0
#> 105   19.75      1  60        0         0
#> 63    22.77      1  31        1         0
#> 36.1  21.19      1  48        0         1
#> 127.1  3.53      1  62        0         1
#> 189.2 10.51      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 191   24.00      0  60        0         1
#> 126   24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 191.1 24.00      0  60        0         1
#> 119   24.00      0  17        0         0
#> 82    24.00      0  34        0         0
#> 185   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 173   24.00      0  19        0         1
#> 80    24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 54    24.00      0  53        1         0
#> 87    24.00      0  27        0         0
#> 112   24.00      0  61        0         0
#> 173.1 24.00      0  19        0         1
#> 9     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 54.1  24.00      0  53        1         0
#> 87.1  24.00      0  27        0         0
#> 17    24.00      0  38        0         1
#> 119.1 24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 138.1 24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 165   24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 176   24.00      0  43        0         1
#> 126.1 24.00      0  48        0         0
#> 64    24.00      0  43        0         0
#> 64.1  24.00      0  43        0         0
#> 19.1  24.00      0  57        0         1
#> 178   24.00      0  52        1         0
#> 165.1 24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 200   24.00      0  64        0         0
#> 132.1 24.00      0  55        0         0
#> 191.2 24.00      0  60        0         1
#> 62.1  24.00      0  71        0         0
#> 62.2  24.00      0  71        0         0
#> 72.1  24.00      0  40        0         1
#> 200.1 24.00      0  64        0         0
#> 143   24.00      0  51        0         0
#> 178.1 24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 35    24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 161   24.00      0  45        0         0
#> 83    24.00      0   6        0         0
#> 112.1 24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 44    24.00      0  56        0         0
#> 74    24.00      0  43        0         1
#> 44.1  24.00      0  56        0         0
#> 185.1 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 31    24.00      0  36        0         1
#> 9.1   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 95.1  24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 65    24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 1     24.00      0  23        1         0
#> 161.1 24.00      0  45        0         0
#> 83.1  24.00      0   6        0         0
#> 47    24.00      0  38        0         1
#> 80.1  24.00      0  41        0         0
#> 172   24.00      0  41        0         0
#> 9.2   24.00      0  31        1         0
#> 173.2 24.00      0  19        0         1
#> 34    24.00      0  36        0         0
#> 196   24.00      0  19        0         0
#> 21.2  24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 118   24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 67.1  24.00      0  25        0         0
#> 27.1  24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.287          NA        NA      NA
#> 2 age, Cure model          0.00474        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0178         NA        NA      NA
#> 4 grade_iii, Cure model    0.842          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00111        NA        NA      NA
#> 2 grade_ii, Survival model   0.557          NA        NA      NA
#> 3 grade_iii, Survival model  0.592          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.286858          0.004738         -0.017759          0.841797  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 257.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.286857851      0.004737612     -0.017758526      0.841796916 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001110667      0.556745959      0.591762820 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.27220987 0.24883820 0.51971145 0.60996407 0.67732421 0.46242152
#>   [7] 0.90054427 0.85582489 0.08076057 0.83332418 0.30637966 0.84083970
#>  [13] 0.59269665 0.94410528 0.81070424 0.13186046 0.93691343 0.33666957
#>  [19] 0.42412087 0.35644733 0.81826538 0.70975591 0.28379718 0.90054427
#>  [25] 0.30637966 0.78795496 0.35644733 0.95828616 0.84083970 0.35644733
#>  [31] 0.85582489 0.72564129 0.53859797 0.70975591 0.09966477 0.29507809
#>  [37] 0.59269665 0.74927648 0.42412087 0.89309400 0.76471508 0.11647603
#>  [43] 0.68555941 0.78795496 0.63591952 0.02191654 0.50063701 0.74927648
#>  [49] 0.23598283 0.46242152 0.85582489 0.15925679 0.92968373 0.65292925
#>  [55] 0.50063701 0.81826538 0.65292925 0.85582489 0.58381265 0.94410528
#>  [61] 0.61867007 0.19823427 0.19823427 0.95828616 0.68555941 0.15925679
#>  [67] 0.65292925 0.49102603 0.57483559 0.42412087 0.64446388 0.42412087
#>  [73] 0.88559962 0.77247691 0.80309535 0.41424302 0.70165526 0.48142162
#>  [79] 0.78024354 0.97232627 0.54787839 0.97232627 0.06219969 0.73363166
#>  [85] 0.19823427 0.33666957 0.52920930 0.54787839 0.18489098 0.73363166
#>  [91] 0.02191654 0.62729091 0.91520528 0.35644733 0.30637966 0.98622981
#>  [97] 0.35644733 0.02191654 0.56586432 0.40419193 0.14599816 0.24883820
#> [103] 0.98622981 0.91520528 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    90    36   108    30    85    76    61    56   168   154   128   177   111 
#> 20.94 21.19 18.29 17.43 16.44 19.22 10.12 12.21 23.72 12.63 20.35 12.53 17.45 
#>    70    60    69   149   158    58   166    14   125   190  61.1 128.1    13 
#>  7.38 13.15 23.23  8.37 20.14 19.34 19.98 12.89 15.65 20.81 10.12 20.35 14.34 
#> 166.1    77 177.1 166.2  56.1     6    41 125.1   164    68 111.1   167  58.1 
#> 19.98  7.27 12.53 19.98 12.21 15.64 18.02 15.65 23.60 20.62 17.45 15.55 19.34 
#>    93   180   129   188  13.1   171    24    88 167.1   153  76.1  56.2    15 
#> 10.33 14.82 23.41 16.16 14.34 16.57 23.89 18.37 15.55 21.33 19.22 12.21 22.68 
#>   187   181  88.1  14.1 181.1  56.3   110  70.1    45   175 175.1  77.1 188.1 
#>  9.92 16.46 18.37 12.89 16.46 12.21 17.56  7.38 17.42 21.91 21.91  7.27 16.16 
#>  15.1 181.2     8   184  58.2   130  58.3    52   133    81   170   100   179 
#> 22.68 16.46 18.43 17.77 19.34 16.47 19.34 10.42 14.65 14.06 19.54 16.07 18.63 
#>    57    25    40  25.1    78    39 175.2 158.1    51  40.1   169  39.1  24.1 
#> 14.46  6.32 18.00  6.32 23.88 15.59 21.91 20.14 18.23 18.00 22.41 15.59 23.89 
#>    23   101 166.3 128.2   127 166.4  24.2   134   105    63  36.1 127.1 101.1 
#> 16.92  9.97 19.98 20.35  3.53 19.98 23.89 17.81 19.75 22.77 21.19  3.53  9.97 
#>   191   126   122    21 191.1   119    82   185   104   132    67   173    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98    54    87   112 173.1     9    46    95    62  54.1  87.1    17 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   138   186 138.1    19   165    12   176 126.1    64  64.1  19.1   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1  21.1    72   200 132.1 191.2  62.1  62.2  72.1 200.1   143 178.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35    27   161    83 112.1    20    44    74  44.1 185.1   146    31   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33  95.1     2    65   151     1 161.1  83.1    47  80.1   172   9.2 173.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   196  21.2    71    53   118  46.1   147  67.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[21]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01185135                0.77483158                0.31000624 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.92640634              0.01265268              0.37225614 
#>   grade_iii, Cure model 
#>              1.12563223 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 167   15.55      1  56        1         0
#> 194   22.40      1  38        0         1
#> 45    17.42      1  54        0         1
#> 52    10.42      1  52        0         1
#> 136   21.83      1  43        0         1
#> 91     5.33      1  61        0         1
#> 90    20.94      1  50        0         1
#> 52.1  10.42      1  52        0         1
#> 90.1  20.94      1  50        0         1
#> 26    15.77      1  49        0         1
#> 70     7.38      1  30        1         0
#> 63    22.77      1  31        1         0
#> 145   10.07      1  65        1         0
#> 130   16.47      1  53        0         1
#> 58    19.34      1  39        0         0
#> 37    12.52      1  57        1         0
#> 130.1 16.47      1  53        0         1
#> 25     6.32      1  34        1         0
#> 168   23.72      1  70        0         0
#> 107   11.18      1  54        1         0
#> 90.2  20.94      1  50        0         1
#> 36    21.19      1  48        0         1
#> 190   20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 90.3  20.94      1  50        0         1
#> 130.2 16.47      1  53        0         1
#> 136.1 21.83      1  43        0         1
#> 111   17.45      1  47        0         1
#> 158   20.14      1  74        1         0
#> 76    19.22      1  54        0         1
#> 5     16.43      1  51        0         1
#> 40    18.00      1  28        1         0
#> 157   15.10      1  47        0         0
#> 179   18.63      1  42        0         0
#> 110   17.56      1  65        0         1
#> 96    14.54      1  33        0         1
#> 70.1   7.38      1  30        1         0
#> 5.1   16.43      1  51        0         1
#> 36.1  21.19      1  48        0         1
#> 32    20.90      1  37        1         0
#> 111.1 17.45      1  47        0         1
#> 81    14.06      1  34        0         0
#> 140   12.68      1  59        1         0
#> 30    17.43      1  78        0         0
#> 99    21.19      1  38        0         1
#> 43    12.10      1  61        0         1
#> 52.2  10.42      1  52        0         1
#> 77     7.27      1  67        0         1
#> 125   15.65      1  67        1         0
#> 167.1 15.55      1  56        1         0
#> 154.1 12.63      1  20        1         0
#> 111.2 17.45      1  47        0         1
#> 59    10.16      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 61    10.12      1  36        0         1
#> 187    9.92      1  39        1         0
#> 58.1  19.34      1  39        0         0
#> 180   14.82      1  37        0         0
#> 107.1 11.18      1  54        1         0
#> 149    8.37      1  33        1         0
#> 51    18.23      1  83        0         1
#> 171   16.57      1  41        0         1
#> 55    19.34      1  69        0         1
#> 195.1 11.76      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 24    23.89      1  38        0         0
#> 90.4  20.94      1  50        0         1
#> 29    15.45      1  68        1         0
#> 10.1  10.53      1  34        0         0
#> 85    16.44      1  36        0         0
#> 189   10.51      1  NA        1         0
#> 167.2 15.55      1  56        1         0
#> 125.1 15.65      1  67        1         0
#> 70.2   7.38      1  30        1         0
#> 192   16.44      1  31        1         0
#> 13    14.34      1  54        0         1
#> 179.1 18.63      1  42        0         0
#> 59.1  10.16      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 15    22.68      1  48        0         0
#> 79    16.23      1  54        1         0
#> 76.1  19.22      1  54        0         1
#> 63.1  22.77      1  31        1         0
#> 92    22.92      1  47        0         1
#> 100   16.07      1  60        0         0
#> 55.1  19.34      1  69        0         1
#> 181   16.46      1  45        0         1
#> 140.1 12.68      1  59        1         0
#> 127    3.53      1  62        0         1
#> 77.1   7.27      1  67        0         1
#> 96.1  14.54      1  33        0         1
#> 76.2  19.22      1  54        0         1
#> 14    12.89      1  21        0         0
#> 179.2 18.63      1  42        0         0
#> 123   13.00      1  44        1         0
#> 133   14.65      1  57        0         0
#> 61.1  10.12      1  36        0         1
#> 192.1 16.44      1  31        1         0
#> 13.1  14.34      1  54        0         1
#> 16     8.71      1  71        0         1
#> 171.1 16.57      1  41        0         1
#> 190.1 20.81      1  42        1         0
#> 136.2 21.83      1  43        0         1
#> 134.1 17.81      1  47        1         0
#> 24.1  23.89      1  38        0         0
#> 8     18.43      1  32        0         0
#> 16.1   8.71      1  71        0         1
#> 134.2 17.81      1  47        1         0
#> 49    12.19      1  48        1         0
#> 93    10.33      1  52        0         1
#> 196   24.00      0  19        0         0
#> 82    24.00      0  34        0         0
#> 152   24.00      0  36        0         1
#> 144   24.00      0  28        0         1
#> 104   24.00      0  50        1         0
#> 196.1 24.00      0  19        0         0
#> 135   24.00      0  58        1         0
#> 72    24.00      0  40        0         1
#> 54    24.00      0  53        1         0
#> 9     24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 54.1  24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 28    24.00      0  67        1         0
#> 1     24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 196.2 24.00      0  19        0         0
#> 147   24.00      0  76        1         0
#> 198   24.00      0  66        0         1
#> 152.1 24.00      0  36        0         1
#> 7     24.00      0  37        1         0
#> 163   24.00      0  66        0         0
#> 44    24.00      0  56        0         0
#> 27    24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 21    24.00      0  47        0         0
#> 165   24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 3     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 126   24.00      0  48        0         0
#> 112   24.00      0  61        0         0
#> 121   24.00      0  57        1         0
#> 1.1   24.00      0  23        1         0
#> 151   24.00      0  42        0         0
#> 17    24.00      0  38        0         1
#> 122   24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 98    24.00      0  34        1         0
#> 131   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 64    24.00      0  43        0         0
#> 121.1 24.00      0  57        1         0
#> 17.1  24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 176   24.00      0  43        0         1
#> 161   24.00      0  45        0         0
#> 22    24.00      0  52        1         0
#> 178   24.00      0  52        1         0
#> 144.1 24.00      0  28        0         1
#> 160   24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 119   24.00      0  17        0         0
#> 19    24.00      0  57        0         1
#> 47    24.00      0  38        0         1
#> 185.1 24.00      0  44        1         0
#> 17.2  24.00      0  38        0         1
#> 118   24.00      0  44        1         0
#> 176.1 24.00      0  43        0         1
#> 102.1 24.00      0  49        0         0
#> 176.2 24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 102.2 24.00      0  49        0         0
#> 172   24.00      0  41        0         0
#> 165.1 24.00      0  47        0         0
#> 160.1 24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 126.1 24.00      0  48        0         0
#> 198.1 24.00      0  66        0         1
#> 131.1 24.00      0  66        0         0
#> 186.1 24.00      0  45        1         0
#> 17.3  24.00      0  38        0         1
#> 64.1  24.00      0  43        0         0
#> 191.1 24.00      0  60        0         1
#> 173   24.00      0  19        0         1
#> 162   24.00      0  51        0         0
#> 135.1 24.00      0  58        1         0
#> 118.1 24.00      0  44        1         0
#> 135.2 24.00      0  58        1         0
#> 95    24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 138.1 24.00      0  44        1         0
#> 3.1   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.926         NA        NA      NA
#> 2 age, Cure model           0.0127        NA        NA      NA
#> 3 grade_ii, Cure model      0.372         NA        NA      NA
#> 4 grade_iii, Cure model     1.13          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0119        NA        NA      NA
#> 2 grade_ii, Survival model    0.775         NA        NA      NA
#> 3 grade_iii, Survival model   0.310         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.92641           0.01265           0.37226           1.12563  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 254.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.92640634       0.01265268       0.37225614       1.12563223 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01185135       0.77483158       0.31000624 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7265203 0.8208788 0.3569749 0.7203123 0.9286164 0.3773883 0.9933178
#>   [8] 0.4681462 0.9286164 0.4681462 0.8056930 0.9728595 0.2907538 0.9512686
#>  [15] 0.7446810 0.5649083 0.9009632 0.7446810 0.9899458 0.2127838 0.9130916
#>  [22] 0.4681462 0.4259336 0.5355521 0.8926835 0.4681462 0.7446810 0.3773883
#>  [29] 0.6950504 0.5555400 0.5985489 0.7842552 0.6609492 0.8395526 0.6223584
#>  [36] 0.6884172 0.8532841 0.9728595 0.7842552 0.4259336 0.5243815 0.6950504
#>  [43] 0.8711216 0.8842671 0.7140183 0.4259336 0.9090875 0.9286164 0.9831615
#>  [50] 0.8109285 0.8208788 0.8926835 0.6950504 0.9208702 0.9437795 0.9549667
#>  [57] 0.5649083 0.8441469 0.9130916 0.9693348 0.6533913 0.7326725 0.5649083
#>  [64] 0.6683362 0.1124909 0.4681462 0.8349396 0.9208702 0.7677234 0.8208788
#>  [71] 0.8109285 0.9728595 0.7677234 0.8622760 0.6223584 0.9586302 0.3351401
#>  [78] 0.7950871 0.5985489 0.2907538 0.2558099 0.8004083 0.5649083 0.7619732
#>  [85] 0.8842671 0.9966692 0.9831615 0.8532841 0.5985489 0.8799088 0.6223584
#>  [92] 0.8755445 0.8487273 0.9437795 0.7677234 0.8622760 0.9622412 0.7326725
#>  [99] 0.5355521 0.3773883 0.6683362 0.1124909 0.6455947 0.9622412 0.6683362
#> [106] 0.9050512 0.9399947 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    23   167   194    45    52   136    91    90  52.1  90.1    26    70    63 
#> 16.92 15.55 22.40 17.42 10.42 21.83  5.33 20.94 10.42 20.94 15.77  7.38 22.77 
#>   145   130    58    37 130.1    25   168   107  90.2    36   190   154  90.3 
#> 10.07 16.47 19.34 12.52 16.47  6.32 23.72 11.18 20.94 21.19 20.81 12.63 20.94 
#> 130.2 136.1   111   158    76     5    40   157   179   110    96  70.1   5.1 
#> 16.47 21.83 17.45 20.14 19.22 16.43 18.00 15.10 18.63 17.56 14.54  7.38 16.43 
#>  36.1    32 111.1    81   140    30    99    43  52.2    77   125 167.1 154.1 
#> 21.19 20.90 17.45 14.06 12.68 17.43 21.19 12.10 10.42  7.27 15.65 15.55 12.63 
#> 111.2    10    61   187  58.1   180 107.1   149    51   171    55   134    24 
#> 17.45 10.53 10.12  9.92 19.34 14.82 11.18  8.37 18.23 16.57 19.34 17.81 23.89 
#>  90.4    29  10.1    85 167.2 125.1  70.2   192    13 179.1   183    15    79 
#> 20.94 15.45 10.53 16.44 15.55 15.65  7.38 16.44 14.34 18.63  9.24 22.68 16.23 
#>  76.1  63.1    92   100  55.1   181 140.1   127  77.1  96.1  76.2    14 179.2 
#> 19.22 22.77 22.92 16.07 19.34 16.46 12.68  3.53  7.27 14.54 19.22 12.89 18.63 
#>   123   133  61.1 192.1  13.1    16 171.1 190.1 136.2 134.1  24.1     8  16.1 
#> 13.00 14.65 10.12 16.44 14.34  8.71 16.57 20.81 21.83 17.81 23.89 18.43  8.71 
#> 134.2    49    93   196    82   152   144   104 196.1   135    72    54     9 
#> 17.81 12.19 10.33 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74  54.1   102    28     1   185 196.2   147   198 152.1     7   163    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    20    21   165   186     3   193   126   112   121   1.1   151    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    71   141    46   156    98   131    87    64 121.1  17.1   191   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    22   178 144.1   160    83   119    19    47 185.1  17.2   118 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1 176.2   146 102.2   172 165.1 160.1    38 112.1 126.1 198.1 131.1 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.3  64.1 191.1   173   162 135.1 118.1 135.2    95   138 138.1   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[22]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0001155206              0.2318931022              0.7294684224 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.05888704              0.01647281              0.40737716 
#>   grade_iii, Cure model 
#>              1.00484160 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 77     7.27      1  67        0         1
#> 5     16.43      1  51        0         1
#> 13    14.34      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 49    12.19      1  48        1         0
#> 45    17.42      1  54        0         1
#> 39    15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 40.1  18.00      1  28        1         0
#> 188   16.16      1  46        0         1
#> 106   16.67      1  49        1         0
#> 39.1  15.59      1  37        0         1
#> 86    23.81      1  58        0         1
#> 127    3.53      1  62        0         1
#> 179   18.63      1  42        0         0
#> 106.1 16.67      1  49        1         0
#> 91     5.33      1  61        0         1
#> 101    9.97      1  10        0         1
#> 96    14.54      1  33        0         1
#> 78    23.88      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 187    9.92      1  39        1         0
#> 61    10.12      1  36        0         1
#> 127.1  3.53      1  62        0         1
#> 59    10.16      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 45.1  17.42      1  54        0         1
#> 88    18.37      1  47        0         0
#> 158   20.14      1  74        1         0
#> 16     8.71      1  71        0         1
#> 96.1  14.54      1  33        0         1
#> 100   16.07      1  60        0         0
#> 66    22.13      1  53        0         0
#> 134   17.81      1  47        1         0
#> 99    21.19      1  38        0         1
#> 14    12.89      1  21        0         0
#> 42    12.43      1  49        0         1
#> 117   17.46      1  26        0         1
#> 93    10.33      1  52        0         1
#> 127.2  3.53      1  62        0         1
#> 37    12.52      1  57        1         0
#> 68    20.62      1  44        0         0
#> 97    19.14      1  65        0         1
#> 133   14.65      1  57        0         0
#> 136   21.83      1  43        0         1
#> 77.1   7.27      1  67        0         1
#> 13.2  14.34      1  54        0         1
#> 90    20.94      1  50        0         1
#> 26    15.77      1  49        0         1
#> 30    17.43      1  78        0         0
#> 105   19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 181   16.46      1  45        0         1
#> 41.1  18.02      1  40        1         0
#> 52    10.42      1  52        0         1
#> 88.1  18.37      1  47        0         0
#> 149    8.37      1  33        1         0
#> 127.3  3.53      1  62        0         1
#> 197   21.60      1  69        1         0
#> 111   17.45      1  47        0         1
#> 51    18.23      1  83        0         1
#> 97.1  19.14      1  65        0         1
#> 153   21.33      1  55        1         0
#> 85    16.44      1  36        0         0
#> 30.1  17.43      1  78        0         0
#> 32    20.90      1  37        1         0
#> 77.2   7.27      1  67        0         1
#> 145   10.07      1  65        1         0
#> 175   21.91      1  43        0         0
#> 167   15.55      1  56        1         0
#> 195.1 11.76      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 85.1  16.44      1  36        0         0
#> 101.1  9.97      1  10        0         1
#> 197.1 21.60      1  69        1         0
#> 192   16.44      1  31        1         0
#> 153.1 21.33      1  55        1         0
#> 159   10.55      1  50        0         1
#> 167.1 15.55      1  56        1         0
#> 57    14.46      1  45        0         1
#> 85.2  16.44      1  36        0         0
#> 5.1   16.43      1  51        0         1
#> 125   15.65      1  67        1         0
#> 111.1 17.45      1  47        0         1
#> 157   15.10      1  47        0         0
#> 61.1  10.12      1  36        0         1
#> 140   12.68      1  59        1         0
#> 192.1 16.44      1  31        1         0
#> 45.2  17.42      1  54        0         1
#> 77.3   7.27      1  67        0         1
#> 145.1 10.07      1  65        1         0
#> 4.1   17.64      1  NA        0         1
#> 100.1 16.07      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 133.1 14.65      1  57        0         0
#> 77.4   7.27      1  67        0         1
#> 60    13.15      1  38        1         0
#> 89    11.44      1  NA        0         0
#> 197.2 21.60      1  69        1         0
#> 175.1 21.91      1  43        0         0
#> 99.1  21.19      1  38        0         1
#> 188.1 16.16      1  46        0         1
#> 125.1 15.65      1  67        1         0
#> 79    16.23      1  54        1         0
#> 113   22.86      1  34        0         0
#> 26.1  15.77      1  49        0         1
#> 155   13.08      1  26        0         0
#> 40.2  18.00      1  28        1         0
#> 167.2 15.55      1  56        1         0
#> 63    22.77      1  31        1         0
#> 129   23.41      1  53        1         0
#> 48    24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 22    24.00      0  52        1         0
#> 138   24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 176   24.00      0  43        0         1
#> 74    24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 176.1 24.00      0  43        0         1
#> 74.1  24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 73    24.00      0  NA        0         1
#> 80    24.00      0  41        0         0
#> 84    24.00      0  39        0         1
#> 131   24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 144   24.00      0  28        0         1
#> 193   24.00      0  45        0         1
#> 12    24.00      0  63        0         0
#> 72    24.00      0  40        0         1
#> 146   24.00      0  63        1         0
#> 54.1  24.00      0  53        1         0
#> 74.2  24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 75    24.00      0  21        1         0
#> 109   24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 48.1  24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 72.1  24.00      0  40        0         1
#> 87    24.00      0  27        0         0
#> 122   24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 46    24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 71    24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 48.2  24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 46.1  24.00      0  71        0         0
#> 54.2  24.00      0  53        1         0
#> 20    24.00      0  46        1         0
#> 147   24.00      0  76        1         0
#> 34    24.00      0  36        0         0
#> 38.1  24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 121   24.00      0  57        1         0
#> 34.1  24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 7     24.00      0  37        1         0
#> 198.1 24.00      0  66        0         1
#> 152   24.00      0  36        0         1
#> 34.2  24.00      0  36        0         0
#> 138.1 24.00      0  44        1         0
#> 12.1  24.00      0  63        0         0
#> 33    24.00      0  53        0         0
#> 83    24.00      0   6        0         0
#> 174   24.00      0  49        1         0
#> 151.1 24.00      0  42        0         0
#> 22.1  24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 143   24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 103   24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 72.2  24.00      0  40        0         1
#> 2     24.00      0   9        0         0
#> 176.2 24.00      0  43        0         1
#> 98    24.00      0  34        1         0
#> 146.1 24.00      0  63        1         0
#> 12.2  24.00      0  63        0         0
#> 196   24.00      0  19        0         0
#> 73.1  24.00      0  NA        0         1
#> 131.1 24.00      0  66        0         0
#> 64.1  24.00      0  43        0         0
#> 19    24.00      0  57        0         1
#> 109.2 24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 144.1 24.00      0  28        0         1
#> 73.2  24.00      0  NA        0         1
#> 191   24.00      0  60        0         1
#> 95    24.00      0  68        0         1
#> 142   24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.06          NA        NA      NA
#> 2 age, Cure model           0.0165        NA        NA      NA
#> 3 grade_ii, Cure model      0.407         NA        NA      NA
#> 4 grade_iii, Cure model     1.00          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000116        NA        NA      NA
#> 2 grade_ii, Survival model   0.232           NA        NA      NA
#> 3 grade_iii, Survival model  0.729           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.05889           0.01647           0.40738           1.00484  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.7 
#> Residual Deviance: 249.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.05888704       0.01647281       0.40737716       1.00484160 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0001155206     0.2318931022     0.7294684224 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.93870691 0.61026884 0.78083728 0.78083728 0.85160423 0.51625662
#>   [7] 0.69839508 0.41950615 0.41950615 0.63510468 0.54245786 0.69839508
#>  [13] 0.04934819 0.97593673 0.35674944 0.54245786 0.96970008 0.90597292
#>  [19] 0.75873269 0.01806401 0.91909648 0.87926170 0.97593673 0.51625662
#>  [25] 0.36750531 0.31247034 0.92566983 0.75873269 0.65114744 0.12141923
#>  [31] 0.44911354 0.25328503 0.81625030 0.84458649 0.46918849 0.87243456
#>  [37] 0.97593673 0.83750626 0.30081672 0.33556508 0.74365742 0.17091171
#>  [43] 0.93870691 0.78083728 0.27739300 0.66719294 0.49762628 0.32401627
#>  [49] 0.39915531 0.55992517 0.39915531 0.86555025 0.36750531 0.93219421
#>  [55] 0.97593673 0.18628716 0.47900228 0.38870922 0.33556508 0.22646291
#>  [61] 0.56858331 0.49762628 0.28916544 0.93870691 0.89264244 0.13860295
#>  [67] 0.71359089 0.45915053 0.56858331 0.90597292 0.18628716 0.56858331
#>  [73] 0.22646291 0.85860731 0.71359089 0.77349528 0.56858331 0.61026884
#>  [79] 0.68283878 0.47900228 0.73608221 0.87926170 0.83041087 0.56858331
#>  [85] 0.51625662 0.93870691 0.89264244 0.65114744 0.81625030 0.74365742
#>  [91] 0.93870691 0.80202858 0.18628716 0.13860295 0.25328503 0.63510468
#>  [97] 0.68283878 0.62680781 0.08634200 0.66719294 0.80913935 0.41950615
#> [103] 0.71359089 0.10425438 0.06845761 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    77     5    13  13.1    49    45    39    40  40.1   188   106  39.1    86 
#>  7.27 16.43 14.34 14.34 12.19 17.42 15.59 18.00 18.00 16.16 16.67 15.59 23.81 
#>   127   179 106.1    91   101    96    78   187    61 127.1  45.1    88   158 
#>  3.53 18.63 16.67  5.33  9.97 14.54 23.88  9.92 10.12  3.53 17.42 18.37 20.14 
#>    16  96.1   100    66   134    99    14    42   117    93 127.2    37    68 
#>  8.71 14.54 16.07 22.13 17.81 21.19 12.89 12.43 17.46 10.33  3.53 12.52 20.62 
#>    97   133   136  77.1  13.2    90    26    30   105    41   181  41.1    52 
#> 19.14 14.65 21.83  7.27 14.34 20.94 15.77 17.43 19.75 18.02 16.46 18.02 10.42 
#>  88.1   149 127.3   197   111    51  97.1   153    85  30.1    32  77.2   145 
#> 18.37  8.37  3.53 21.60 17.45 18.23 19.14 21.33 16.44 17.43 20.90  7.27 10.07 
#>   175   167   184  85.1 101.1 197.1   192 153.1   159 167.1    57  85.2   5.1 
#> 21.91 15.55 17.77 16.44  9.97 21.60 16.44 21.33 10.55 15.55 14.46 16.44 16.43 
#>   125 111.1   157  61.1   140 192.1  45.2  77.3 145.1 100.1  14.1 133.1  77.4 
#> 15.65 17.45 15.10 10.12 12.68 16.44 17.42  7.27 10.07 16.07 12.89 14.65  7.27 
#>    60 197.2 175.1  99.1 188.1 125.1    79   113  26.1   155  40.2 167.2    63 
#> 13.15 21.60 21.91 21.19 16.16 15.65 16.23 22.86 15.77 13.08 18.00 15.55 22.77 
#>   129    48    54    22   138    64   176    74   198 176.1  74.1    27    80 
#> 23.41 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   131   151   144   193    12    72   146  54.1  74.2   120    75   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1   160    21  48.1   137   165  72.1    87   122   126    46    82    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38  48.2   173  46.1  54.2    20   147    34  38.1     3   185    53   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1     7 198.1   152  34.2 138.1  12.1    33    83   174 151.1  22.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143     1   103    47  72.2     2 176.2    98 146.1  12.2   196 131.1  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19 109.2    65 144.1   191    95   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[23]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002155759               0.568733778               0.330170796 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.73597815              0.01190433              0.46773749 
#>   grade_iii, Cure model 
#>              0.62940245 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 55    19.34      1  69        0         1
#> 76    19.22      1  54        0         1
#> 166   19.98      1  48        0         0
#> 179   18.63      1  42        0         0
#> 171   16.57      1  41        0         1
#> 78    23.88      1  43        0         0
#> 16     8.71      1  71        0         1
#> 61    10.12      1  36        0         1
#> 108   18.29      1  39        0         1
#> 192   16.44      1  31        1         0
#> 183    9.24      1  67        1         0
#> 32    20.90      1  37        1         0
#> 108.1 18.29      1  39        0         1
#> 136   21.83      1  43        0         1
#> 187    9.92      1  39        1         0
#> 171.1 16.57      1  41        0         1
#> 13    14.34      1  54        0         1
#> 93    10.33      1  52        0         1
#> 145   10.07      1  65        1         0
#> 175   21.91      1  43        0         0
#> 16.1   8.71      1  71        0         1
#> 158   20.14      1  74        1         0
#> 175.1 21.91      1  43        0         0
#> 170   19.54      1  43        0         1
#> 180   14.82      1  37        0         0
#> 36    21.19      1  48        0         1
#> 164   23.60      1  76        0         1
#> 187.1  9.92      1  39        1         0
#> 18    15.21      1  49        1         0
#> 128   20.35      1  35        0         1
#> 68    20.62      1  44        0         0
#> 36.1  21.19      1  48        0         1
#> 134   17.81      1  47        1         0
#> 179.1 18.63      1  42        0         0
#> 66    22.13      1  53        0         0
#> 41    18.02      1  40        1         0
#> 30    17.43      1  78        0         0
#> 177   12.53      1  75        0         0
#> 159   10.55      1  50        0         1
#> 192.1 16.44      1  31        1         0
#> 24    23.89      1  38        0         0
#> 105   19.75      1  60        0         0
#> 30.1  17.43      1  78        0         0
#> 6     15.64      1  39        0         0
#> 40    18.00      1  28        1         0
#> 107   11.18      1  54        1         0
#> 105.1 19.75      1  60        0         0
#> 41.1  18.02      1  40        1         0
#> 107.1 11.18      1  54        1         0
#> 30.2  17.43      1  78        0         0
#> 149    8.37      1  33        1         0
#> 70     7.38      1  30        1         0
#> 105.2 19.75      1  60        0         0
#> 171.2 16.57      1  41        0         1
#> 107.2 11.18      1  54        1         0
#> 184   17.77      1  38        0         0
#> 129   23.41      1  53        1         0
#> 70.1   7.38      1  30        1         0
#> 108.2 18.29      1  39        0         1
#> 180.1 14.82      1  37        0         0
#> 10    10.53      1  34        0         0
#> 128.1 20.35      1  35        0         1
#> 24.1  23.89      1  38        0         0
#> 195   11.76      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 180.2 14.82      1  37        0         0
#> 192.2 16.44      1  31        1         0
#> 77     7.27      1  67        0         1
#> 59    10.16      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 155   13.08      1  26        0         0
#> 86    23.81      1  58        0         1
#> 51.1  18.23      1  83        0         1
#> 195.1 11.76      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 139   21.49      1  63        1         0
#> 195.2 11.76      1  NA        1         0
#> 10.1  10.53      1  34        0         0
#> 158.1 20.14      1  74        1         0
#> 195.3 11.76      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 170.1 19.54      1  43        0         1
#> 171.3 16.57      1  41        0         1
#> 124    9.73      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 129.1 23.41      1  53        1         0
#> 13.1  14.34      1  54        0         1
#> 57    14.46      1  45        0         1
#> 195.4 11.76      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 107.3 11.18      1  54        1         0
#> 134.1 17.81      1  47        1         0
#> 85    16.44      1  36        0         0
#> 130   16.47      1  53        0         1
#> 30.3  17.43      1  78        0         0
#> 32.1  20.90      1  37        1         0
#> 199   19.81      1  NA        0         1
#> 100   16.07      1  60        0         0
#> 190   20.81      1  42        1         0
#> 110   17.56      1  65        0         1
#> 70.2   7.38      1  30        1         0
#> 187.2  9.92      1  39        1         0
#> 170.2 19.54      1  43        0         1
#> 106   16.67      1  49        1         0
#> 36.2  21.19      1  48        0         1
#> 16.2   8.71      1  71        0         1
#> 189   10.51      1  NA        1         0
#> 179.2 18.63      1  42        0         0
#> 45.1  17.42      1  54        0         1
#> 106.1 16.67      1  49        1         0
#> 81    14.06      1  34        0         0
#> 180.3 14.82      1  37        0         0
#> 7     24.00      0  37        1         0
#> 33    24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 102   24.00      0  49        0         0
#> 163   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 22    24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 152   24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 34    24.00      0  36        0         0
#> 173   24.00      0  19        0         1
#> 182   24.00      0  35        0         0
#> 137   24.00      0  45        1         0
#> 176   24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 122.1 24.00      0  66        0         0
#> 200.1 24.00      0  64        0         0
#> 53    24.00      0  32        0         1
#> 72    24.00      0  40        0         1
#> 73    24.00      0  NA        0         1
#> 160   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 47    24.00      0  38        0         1
#> 132   24.00      0  55        0         0
#> 27    24.00      0  63        1         0
#> 178.1 24.00      0  52        1         0
#> 72.1  24.00      0  40        0         1
#> 131   24.00      0  66        0         0
#> 174.1 24.00      0  49        1         0
#> 54    24.00      0  53        1         0
#> 48    24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 46    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 198   24.00      0  66        0         1
#> 84    24.00      0  39        0         1
#> 191.1 24.00      0  60        0         1
#> 21    24.00      0  47        0         0
#> 141.1 24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 84.1  24.00      0  39        0         1
#> 46.1  24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 87.1  24.00      0  27        0         0
#> 94    24.00      0  51        0         1
#> 20    24.00      0  46        1         0
#> 9.1   24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 46.2  24.00      0  71        0         0
#> 198.1 24.00      0  66        0         1
#> 95    24.00      0  68        0         1
#> 152.1 24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 3     24.00      0  31        1         0
#> 84.2  24.00      0  39        0         1
#> 138   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 35    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 64.1  24.00      0  43        0         0
#> 115   24.00      0  NA        1         0
#> 196   24.00      0  19        0         0
#> 11.1  24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 131.1 24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 146.1 24.00      0  63        1         0
#> 44.1  24.00      0  56        0         0
#> 160.1 24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 2     24.00      0   9        0         0
#> 21.1  24.00      0  47        0         0
#> 152.2 24.00      0  36        0         1
#> 27.1  24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 21.2  24.00      0  47        0         0
#> 186.1 24.00      0  45        1         0
#> 119   24.00      0  17        0         0
#> 80    24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.736         NA        NA      NA
#> 2 age, Cure model           0.0119        NA        NA      NA
#> 3 grade_ii, Cure model      0.468         NA        NA      NA
#> 4 grade_iii, Cure model     0.629         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00216        NA        NA      NA
#> 2 grade_ii, Survival model   0.569          NA        NA      NA
#> 3 grade_iii, Survival model  0.330          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.7360            0.0119            0.4677            0.6294  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 256 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.73597815       0.01190433       0.46773749       0.62940245 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002155759      0.568733778      0.330170796 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.37934481 0.38934718 0.30969982 0.39928869 0.61292454 0.04001751
#>   [7] 0.92214841 0.86581464 0.42856228 0.65627520 0.91416336 0.22552579
#>  [13] 0.42856228 0.16612915 0.89030769 0.61292454 0.75774195 0.85754733
#>  [19] 0.87405933 0.14049590 0.92214841 0.28965047 0.14049590 0.34997208
#>  [25] 0.71559657 0.19177746 0.07396138 0.89030769 0.70707050 0.26887491
#>  [31] 0.25803081 0.19177746 0.50462015 0.39928869 0.12726577 0.47651428
#>  [37] 0.54103300 0.79158066 0.83277783 0.65627520 0.01351702 0.31992532
#>  [43] 0.54103300 0.69848344 0.49527014 0.80008420 0.31992532 0.47651428
#>  [49] 0.80008420 0.54103300 0.94577884 0.95367940 0.31992532 0.61292454
#>  [55] 0.80008420 0.52275042 0.08976863 0.95367940 0.42856228 0.71559657
#>  [61] 0.84105386 0.26887491 0.01351702 0.45728933 0.71559657 0.65627520
#>  [67] 0.97681161 0.99229223 0.78309074 0.05753560 0.45728933 0.11418356
#>  [73] 0.17920150 0.84105386 0.28965047 0.57698611 0.34997208 0.61292454
#>  [79] 0.98457143 0.08976863 0.75774195 0.74921710 0.87405933 0.80008420
#>  [85] 0.50462015 0.65627520 0.64748532 0.54103300 0.22552579 0.68990489
#>  [91] 0.24722786 0.53190815 0.95367940 0.89030769 0.34997208 0.59511507
#>  [97] 0.19177746 0.92214841 0.39928869 0.57698611 0.59511507 0.77460583
#> [103] 0.71559657 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    55    76   166   179   171    78    16    61   108   192   183    32 108.1 
#> 19.34 19.22 19.98 18.63 16.57 23.88  8.71 10.12 18.29 16.44  9.24 20.90 18.29 
#>   136   187 171.1    13    93   145   175  16.1   158 175.1   170   180    36 
#> 21.83  9.92 16.57 14.34 10.33 10.07 21.91  8.71 20.14 21.91 19.54 14.82 21.19 
#>   164 187.1    18   128    68  36.1   134 179.1    66    41    30   177   159 
#> 23.60  9.92 15.21 20.35 20.62 21.19 17.81 18.63 22.13 18.02 17.43 12.53 10.55 
#> 192.1    24   105  30.1     6    40   107 105.1  41.1 107.1  30.2   149    70 
#> 16.44 23.89 19.75 17.43 15.64 18.00 11.18 19.75 18.02 11.18 17.43  8.37  7.38 
#> 105.2 171.2 107.2   184   129  70.1 108.2 180.1    10 128.1  24.1    51 180.2 
#> 19.75 16.57 11.18 17.77 23.41  7.38 18.29 14.82 10.53 20.35 23.89 18.23 14.82 
#> 192.2    77   127   155    86  51.1   169   139  10.1 158.1    45 170.1 171.3 
#> 16.44  7.27  3.53 13.08 23.81 18.23 22.41 21.49 10.53 20.14 17.42 19.54 16.57 
#>    25 129.1  13.1    57 145.1 107.3 134.1    85   130  30.3  32.1   100   190 
#>  6.32 23.41 14.34 14.46 10.07 11.18 17.81 16.44 16.47 17.43 20.90 16.07 20.81 
#>   110  70.2 187.2 170.2   106  36.2  16.2 179.2  45.1 106.1    81 180.3     7 
#> 17.56  7.38  9.92 19.54 16.67 21.19  8.71 18.63 17.42 16.67 14.06 14.82 24.00 
#>    33   200   102   163 163.1   141   178    11    22   191   152   142   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    34   173   182   137   176   172 122.1 200.1    53    72   160   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    98    47   132    27 178.1  72.1   131 174.1    54    48    12    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   198    84 191.1    21 141.1   144  84.1  46.1    17  87.1    94    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1   165  46.2 198.1    95 152.1    44     3  84.2   138    74    35    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1   196  11.1   146 131.1   186    75 146.1  44.1 160.1   112     2  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.2  27.1   126  21.2 186.1   119    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[24]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01219993                0.67799819                0.65000651 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.07323047             -0.00376042              0.02908658 
#>   grade_iii, Cure model 
#>              1.04776103 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 155   13.08      1  26        0         0
#> 190   20.81      1  42        1         0
#> 24    23.89      1  38        0         0
#> 52    10.42      1  52        0         1
#> 42    12.43      1  49        0         1
#> 139   21.49      1  63        1         0
#> 153   21.33      1  55        1         0
#> 154   12.63      1  20        1         0
#> 88    18.37      1  47        0         0
#> 96    14.54      1  33        0         1
#> 61    10.12      1  36        0         1
#> 39    15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 97    19.14      1  65        0         1
#> 154.1 12.63      1  20        1         0
#> 56    12.21      1  60        0         0
#> 69    23.23      1  25        0         1
#> 139.1 21.49      1  63        1         0
#> 181   16.46      1  45        0         1
#> 159   10.55      1  50        0         1
#> 175   21.91      1  43        0         0
#> 45    17.42      1  54        0         1
#> 61.1  10.12      1  36        0         1
#> 66    22.13      1  53        0         0
#> 93    10.33      1  52        0         1
#> 42.1  12.43      1  49        0         1
#> 192   16.44      1  31        1         0
#> 188   16.16      1  46        0         1
#> 96.1  14.54      1  33        0         1
#> 164   23.60      1  76        0         1
#> 78    23.88      1  43        0         0
#> 18    15.21      1  49        1         0
#> 23    16.92      1  61        0         0
#> 81    14.06      1  34        0         0
#> 6     15.64      1  39        0         0
#> 130   16.47      1  53        0         1
#> 18.1  15.21      1  49        1         0
#> 145   10.07      1  65        1         0
#> 149    8.37      1  33        1         0
#> 187    9.92      1  39        1         0
#> 36    21.19      1  48        0         1
#> 66.1  22.13      1  53        0         0
#> 157   15.10      1  47        0         0
#> 133   14.65      1  57        0         0
#> 8     18.43      1  32        0         0
#> 101    9.97      1  10        0         1
#> 194   22.40      1  38        0         1
#> 89    11.44      1  NA        0         0
#> 39.1  15.59      1  37        0         1
#> 106   16.67      1  49        1         0
#> 168   23.72      1  70        0         0
#> 158   20.14      1  74        1         0
#> 60    13.15      1  38        1         0
#> 10    10.53      1  34        0         0
#> 63    22.77      1  31        1         0
#> 56.1  12.21      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 76    19.22      1  54        0         1
#> 52.1  10.42      1  52        0         1
#> 110   17.56      1  65        0         1
#> 59    10.16      1  NA        1         0
#> 39.2  15.59      1  37        0         1
#> 56.2  12.21      1  60        0         0
#> 30    17.43      1  78        0         0
#> 96.2  14.54      1  33        0         1
#> 59.1  10.16      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 187.1  9.92      1  39        1         0
#> 179   18.63      1  42        0         0
#> 61.2  10.12      1  36        0         1
#> 76.1  19.22      1  54        0         1
#> 66.2  22.13      1  53        0         0
#> 101.1  9.97      1  10        0         1
#> 194.1 22.40      1  38        0         1
#> 52.2  10.42      1  52        0         1
#> 8.1   18.43      1  32        0         0
#> 128   20.35      1  35        0         1
#> 45.1  17.42      1  54        0         1
#> 134   17.81      1  47        1         0
#> 184   17.77      1  38        0         0
#> 171   16.57      1  41        0         1
#> 134.1 17.81      1  47        1         0
#> 92    22.92      1  47        0         1
#> 6.1   15.64      1  39        0         0
#> 197   21.60      1  69        1         0
#> 114   13.68      1  NA        0         0
#> 179.1 18.63      1  42        0         0
#> 139.2 21.49      1  63        1         0
#> 39.3  15.59      1  37        0         1
#> 49    12.19      1  48        1         0
#> 171.1 16.57      1  41        0         1
#> 49.1  12.19      1  48        1         0
#> 139.3 21.49      1  63        1         0
#> 194.2 22.40      1  38        0         1
#> 42.2  12.43      1  49        0         1
#> 159.1 10.55      1  50        0         1
#> 105.1 19.75      1  60        0         0
#> 170   19.54      1  43        0         1
#> 113   22.86      1  34        0         0
#> 113.1 22.86      1  34        0         0
#> 60.1  13.15      1  38        1         0
#> 8.2   18.43      1  32        0         0
#> 37    12.52      1  57        1         0
#> 96.3  14.54      1  33        0         1
#> 91     5.33      1  61        0         1
#> 181.1 16.46      1  45        0         1
#> 168.1 23.72      1  70        0         0
#> 81.1  14.06      1  34        0         0
#> 100   16.07      1  60        0         0
#> 197.1 21.60      1  69        1         0
#> 24.1  23.89      1  38        0         0
#> 160   24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 35    24.00      0  51        0         0
#> 172.1 24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 131   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 82    24.00      0  34        0         0
#> 35.1  24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 17    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 144   24.00      0  28        0         1
#> 31    24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 102   24.00      0  49        0         0
#> 28    24.00      0  67        1         0
#> 137.1 24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 185   24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 83    24.00      0   6        0         0
#> 122   24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 191   24.00      0  60        0         1
#> 94    24.00      0  51        0         1
#> 48.1  24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 87    24.00      0  27        0         0
#> 122.1 24.00      0  66        0         0
#> 122.2 24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 198   24.00      0  66        0         1
#> 94.1  24.00      0  51        0         1
#> 1     24.00      0  23        1         0
#> 46    24.00      0  71        0         0
#> 200.1 24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 126   24.00      0  48        0         0
#> 186.1 24.00      0  45        1         0
#> 98    24.00      0  34        1         0
#> 11    24.00      0  42        0         1
#> 200.2 24.00      0  64        0         0
#> 132.2 24.00      0  55        0         0
#> 126.1 24.00      0  48        0         0
#> 196   24.00      0  19        0         0
#> 138   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 33.1  24.00      0  53        0         0
#> 19    24.00      0  57        0         1
#> 1.1   24.00      0  23        1         0
#> 146   24.00      0  63        1         0
#> 137.2 24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 33.2  24.00      0  53        0         0
#> 152.1 24.00      0  36        0         1
#> 126.2 24.00      0  48        0         0
#> 126.3 24.00      0  48        0         0
#> 174   24.00      0  49        1         0
#> 73    24.00      0  NA        0         1
#> 48.2  24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 116.1 24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 200.3 24.00      0  64        0         0
#> 200.4 24.00      0  64        0         0
#> 160.1 24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 148   24.00      0  61        1         0
#> 151   24.00      0  42        0         0
#> 160.2 24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 73.1  24.00      0  NA        0         1
#> 87.1  24.00      0  27        0         0
#> 116.2 24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 186.2 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0732         NA        NA      NA
#> 2 age, Cure model         -0.00376        NA        NA      NA
#> 3 grade_ii, Cure model     0.0291         NA        NA      NA
#> 4 grade_iii, Cure model    1.05           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0122        NA        NA      NA
#> 2 grade_ii, Survival model    0.678         NA        NA      NA
#> 3 grade_iii, Survival model   0.650         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.07323          -0.00376           0.02909           1.04776  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 254.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.07323047      -0.00376042       0.02908658       1.04776103 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01219993       0.67799819       0.65000651 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.711440857 0.209734859 0.001482582 0.861024845 0.751297344 0.157161712
#>   [7] 0.191377336 0.721553009 0.340661167 0.632006252 0.901176653 0.552158940
#>  [13] 0.350725331 0.283261473 0.721553009 0.780723886 0.034940440 0.157161712
#>  [19] 0.481377563 0.830824140 0.130362791 0.410345831 0.901176653 0.105791521
#>  [25] 0.891054107 0.751297344 0.501461745 0.511535218 0.632006252 0.026168526
#>  [31] 0.007268632 0.591600848 0.430441462 0.671293881 0.531747030 0.471182857
#>  [37] 0.591600848 0.930971588 0.980340850 0.960726932 0.200570031 0.105791521
#>  [43] 0.611605361 0.621763876 0.311713969 0.941022885 0.083677001 0.552158940
#>  [49] 0.440737030 0.012480396 0.227828166 0.691437018 0.850890825 0.066821010
#>  [55] 0.780723886 0.236900322 0.264807284 0.861024845 0.390163191 0.552158940
#>  [61] 0.780723886 0.400176406 0.632006252 0.075039082 0.960726932 0.292685571
#>  [67] 0.901176653 0.264807284 0.105791521 0.941022885 0.083677001 0.861024845
#>  [73] 0.311713969 0.218828196 0.410345831 0.360675343 0.380184111 0.451012565
#>  [79] 0.360675343 0.042902698 0.531747030 0.139377150 0.292685571 0.157161712
#>  [85] 0.552158940 0.810737676 0.451012565 0.810737676 0.157161712 0.083677001
#>  [91] 0.751297344 0.830824140 0.236900322 0.255419672 0.050753463 0.050753463
#>  [97] 0.691437018 0.311713969 0.741336434 0.632006252 0.990166039 0.481377563
#> [103] 0.012480396 0.671293881 0.521590307 0.139377150 0.001482582 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>   155   190    24    52    42   139   153   154    88    96    61    39    40 
#> 13.08 20.81 23.89 10.42 12.43 21.49 21.33 12.63 18.37 14.54 10.12 15.59 18.00 
#>    97 154.1    56    69 139.1   181   159   175    45  61.1    66    93  42.1 
#> 19.14 12.63 12.21 23.23 21.49 16.46 10.55 21.91 17.42 10.12 22.13 10.33 12.43 
#>   192   188  96.1   164    78    18    23    81     6   130  18.1   145   149 
#> 16.44 16.16 14.54 23.60 23.88 15.21 16.92 14.06 15.64 16.47 15.21 10.07  8.37 
#>   187    36  66.1   157   133     8   101   194  39.1   106   168   158    60 
#>  9.92 21.19 22.13 15.10 14.65 18.43  9.97 22.40 15.59 16.67 23.72 20.14 13.15 
#>    10    63  56.1   105    76  52.1   110  39.2  56.2    30  96.2    15 187.1 
#> 10.53 22.77 12.21 19.75 19.22 10.42 17.56 15.59 12.21 17.43 14.54 22.68  9.92 
#>   179  61.2  76.1  66.2 101.1 194.1  52.2   8.1   128  45.1   134   184   171 
#> 18.63 10.12 19.22 22.13  9.97 22.40 10.42 18.43 20.35 17.42 17.81 17.77 16.57 
#> 134.1    92   6.1   197 179.1 139.2  39.3    49 171.1  49.1 139.3 194.2  42.2 
#> 17.81 22.92 15.64 21.60 18.63 21.49 15.59 12.19 16.57 12.19 21.49 22.40 12.43 
#> 159.1 105.1   170   113 113.1  60.1   8.2    37  96.3    91 181.1 168.1  81.1 
#> 10.55 19.75 19.54 22.86 22.86 13.15 18.43 12.52 14.54  5.33 16.46 23.72 14.06 
#>   100 197.1  24.1   160   172    54   109    35 172.1   132   131   137    72 
#> 16.07 21.60 23.89 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82  35.1    48   200    17    33   144    31     2   102    28 137.1    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185 131.1    47   186   103    83   122    38     7   191    94  48.1   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87 122.1 122.2   152   182   198  94.1     1    46 200.1   165     9 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 186.1    98    11 200.2 132.2 126.1   196   138    27  33.1    19   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146 137.2    95  33.2 152.1 126.2 126.3   174  48.2   116 116.1    12 200.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.4 160.1  28.1   148   151 160.2 165.1  87.1 116.2    21 186.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[25]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0002606304              0.7678177543              0.2595868583 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.70115379              0.01433034             -0.01348739 
#>   grade_iii, Cure model 
#>              0.81878711 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 136   21.83      1  43        0         1
#> 140   12.68      1  59        1         0
#> 130   16.47      1  53        0         1
#> 56    12.21      1  60        0         0
#> 183    9.24      1  67        1         0
#> 68    20.62      1  44        0         0
#> 124    9.73      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 140.1 12.68      1  59        1         0
#> 130.1 16.47      1  53        0         1
#> 99    21.19      1  38        0         1
#> 129   23.41      1  53        1         0
#> 166   19.98      1  48        0         0
#> 99.1  21.19      1  38        0         1
#> 4     17.64      1  NA        0         1
#> 25     6.32      1  34        1         0
#> 150   20.33      1  48        0         0
#> 125   15.65      1  67        1         0
#> 195   11.76      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 110   17.56      1  65        0         1
#> 81    14.06      1  34        0         0
#> 184.1 17.77      1  38        0         0
#> 96    14.54      1  33        0         1
#> 24.1  23.89      1  38        0         0
#> 130.2 16.47      1  53        0         1
#> 68.1  20.62      1  44        0         0
#> 101    9.97      1  10        0         1
#> 179   18.63      1  42        0         0
#> 168   23.72      1  70        0         0
#> 6     15.64      1  39        0         0
#> 187    9.92      1  39        1         0
#> 192   16.44      1  31        1         0
#> 99.2  21.19      1  38        0         1
#> 69    23.23      1  25        0         1
#> 88    18.37      1  47        0         0
#> 155   13.08      1  26        0         0
#> 187.1  9.92      1  39        1         0
#> 23    16.92      1  61        0         0
#> 180   14.82      1  37        0         0
#> 88.1  18.37      1  47        0         0
#> 66    22.13      1  53        0         0
#> 61    10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 100   16.07      1  60        0         0
#> 57    14.46      1  45        0         1
#> 179.1 18.63      1  42        0         0
#> 26    15.77      1  49        0         1
#> 125.1 15.65      1  67        1         0
#> 77     7.27      1  67        0         1
#> 51    18.23      1  83        0         1
#> 177   12.53      1  75        0         0
#> 105   19.75      1  60        0         0
#> 76    19.22      1  54        0         1
#> 69.1  23.23      1  25        0         1
#> 177.1 12.53      1  75        0         0
#> 170   19.54      1  43        0         1
#> 51.1  18.23      1  83        0         1
#> 124.1  9.73      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 81.1  14.06      1  34        0         0
#> 128   20.35      1  35        0         1
#> 43    12.10      1  61        0         1
#> 169   22.41      1  46        0         0
#> 181   16.46      1  45        0         1
#> 125.2 15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 76.1  19.22      1  54        0         1
#> 190   20.81      1  42        1         0
#> 179.2 18.63      1  42        0         0
#> 159   10.55      1  50        0         1
#> 101.1  9.97      1  10        0         1
#> 68.2  20.62      1  44        0         0
#> 18    15.21      1  49        1         0
#> 128.1 20.35      1  35        0         1
#> 197   21.60      1  69        1         0
#> 187.2  9.92      1  39        1         0
#> 150.1 20.33      1  48        0         0
#> 24.2  23.89      1  38        0         0
#> 170.1 19.54      1  43        0         1
#> 164   23.60      1  76        0         1
#> 37    12.52      1  57        1         0
#> 145   10.07      1  65        1         0
#> 175   21.91      1  43        0         0
#> 45    17.42      1  54        0         1
#> 139   21.49      1  63        1         0
#> 58    19.34      1  39        0         0
#> 36    21.19      1  48        0         1
#> 170.2 19.54      1  43        0         1
#> 56.1  12.21      1  60        0         0
#> 40    18.00      1  28        1         0
#> 99.3  21.19      1  38        0         1
#> 133.1 14.65      1  57        0         0
#> 133.2 14.65      1  57        0         0
#> 168.1 23.72      1  70        0         0
#> 81.2  14.06      1  34        0         0
#> 159.1 10.55      1  50        0         1
#> 24.3  23.89      1  38        0         0
#> 171   16.57      1  41        0         1
#> 40.1  18.00      1  28        1         0
#> 77.1   7.27      1  67        0         1
#> 145.1 10.07      1  65        1         0
#> 25.1   6.32      1  34        1         0
#> 39    15.59      1  37        0         1
#> 170.3 19.54      1  43        0         1
#> 180.1 14.82      1  37        0         0
#> 86    23.81      1  58        0         1
#> 57.1  14.46      1  45        0         1
#> 181.1 16.46      1  45        0         1
#> 85    16.44      1  36        0         0
#> 76.2  19.22      1  54        0         1
#> 62    24.00      0  71        0         0
#> 27    24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 176   24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 27.1  24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 147   24.00      0  76        1         0
#> 35    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 186   24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 112   24.00      0  61        0         0
#> 119   24.00      0  17        0         0
#> 161   24.00      0  45        0         0
#> 143   24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 98    24.00      0  34        1         0
#> 144   24.00      0  28        0         1
#> 87    24.00      0  27        0         0
#> 151   24.00      0  42        0         0
#> 178   24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 102   24.00      0  49        0         0
#> 75    24.00      0  21        1         0
#> 27.2  24.00      0  63        1         0
#> 182.1 24.00      0  35        0         0
#> 182.2 24.00      0  35        0         0
#> 165   24.00      0  47        0         0
#> 116   24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 87.1  24.00      0  27        0         0
#> 109   24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 104   24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 142   24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 132   24.00      0  55        0         0
#> 67.1  24.00      0  25        0         0
#> 163   24.00      0  66        0         0
#> 87.2  24.00      0  27        0         0
#> 53    24.00      0  32        0         1
#> 84.1  24.00      0  39        0         1
#> 19    24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 83    24.00      0   6        0         0
#> 193   24.00      0  45        0         1
#> 137   24.00      0  45        1         0
#> 115   24.00      0  NA        1         0
#> 33    24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 185   24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 143.1 24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 84.2  24.00      0  39        0         1
#> 87.3  24.00      0  27        0         0
#> 82    24.00      0  34        0         0
#> 12.1  24.00      0  63        0         0
#> 142.2 24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 185.1 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 38    24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 33.2  24.00      0  53        0         0
#> 109.1 24.00      0  48        0         0
#> 120   24.00      0  68        0         1
#> 109.2 24.00      0  48        0         0
#> 191.1 24.00      0  60        0         1
#> 191.2 24.00      0  60        0         1
#> 83.1  24.00      0   6        0         0
#> 174   24.00      0  49        1         0
#> 131   24.00      0  66        0         0
#> 178.1 24.00      0  52        1         0
#> 174.1 24.00      0  49        1         0
#> 172   24.00      0  41        0         0
#> 186.1 24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 31.1  24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 35.1  24.00      0  51        0         0
#> 102.1 24.00      0  49        0         0
#> 173.1 24.00      0  19        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.701         NA        NA      NA
#> 2 age, Cure model           0.0143        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0135        NA        NA      NA
#> 4 grade_iii, Cure model     0.819         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000261        NA        NA      NA
#> 2 grade_ii, Survival model  0.768           NA        NA      NA
#> 3 grade_iii, Survival model 0.260           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.70115           0.01433          -0.01349           0.81879  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 257.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.70115379       0.01433034      -0.01348739       0.81878711 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0002606304     0.7678177543     0.2595868583 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.21943693 0.82754451 0.60576552 0.86484238 0.96582818 0.31350980
#>   [7] 0.55386632 0.82754451 0.60576552 0.25515962 0.14225496 0.38085142
#>  [13] 0.25515962 0.98648612 0.36164398 0.68878982 0.02982927 0.57118850
#>  [19] 0.79708037 0.55386632 0.77408476 0.02982927 0.60576552 0.31350980
#>  [25] 0.93074295 0.47323448 0.09677061 0.71217027 0.94503074 0.64759907
#>  [31] 0.25515962 0.15592310 0.50031676 0.81987520 0.94503074 0.58851874
#>  [37] 0.73565665 0.50031676 0.19369100 0.90904624 0.66406566 0.67231850
#>  [43] 0.78180658 0.47323448 0.68056976 0.68878982 0.97275132 0.51853044
#>  [49] 0.84248451 0.39057627 0.44613556 0.15592310 0.84248451 0.40029731
#>  [55] 0.51853044 0.90168503 0.79708037 0.34242393 0.87962088 0.18080205
#>  [61] 0.63088130 0.68878982 0.75107976 0.44613556 0.30354901 0.47323448
#>  [67] 0.88702163 0.93074295 0.31350980 0.72790266 0.34242393 0.23207527
#>  [73] 0.94503074 0.36164398 0.02982927 0.40029731 0.12683381 0.85741928
#>  [79] 0.91638911 0.20656835 0.57987400 0.24394222 0.43672984 0.25515962
#>  [85] 0.40029731 0.86484238 0.53653880 0.25515962 0.75107976 0.75107976
#>  [91] 0.09677061 0.79708037 0.88702163 0.02982927 0.59716145 0.53653880
#>  [97] 0.97275132 0.91638911 0.98648612 0.72004974 0.40029731 0.73565665
#> [103] 0.08028920 0.78180658 0.63088130 0.64759907 0.44613556 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>   136   140   130    56   183    68   184 140.1 130.1    99   129   166  99.1 
#> 21.83 12.68 16.47 12.21  9.24 20.62 17.77 12.68 16.47 21.19 23.41 19.98 21.19 
#>    25   150   125    24   110    81 184.1    96  24.1 130.2  68.1   101   179 
#>  6.32 20.33 15.65 23.89 17.56 14.06 17.77 14.54 23.89 16.47 20.62  9.97 18.63 
#>   168     6   187   192  99.2    69    88   155 187.1    23   180  88.1    66 
#> 23.72 15.64  9.92 16.44 21.19 23.23 18.37 13.08  9.92 16.92 14.82 18.37 22.13 
#>    61   188   100    57 179.1    26 125.1    77    51   177   105    76  69.1 
#> 10.12 16.16 16.07 14.46 18.63 15.77 15.65  7.27 18.23 12.53 19.75 19.22 23.23 
#> 177.1   170  51.1    10  81.1   128    43   169   181 125.2   133  76.1   190 
#> 12.53 19.54 18.23 10.53 14.06 20.35 12.10 22.41 16.46 15.65 14.65 19.22 20.81 
#> 179.2   159 101.1  68.2    18 128.1   197 187.2 150.1  24.2 170.1   164    37 
#> 18.63 10.55  9.97 20.62 15.21 20.35 21.60  9.92 20.33 23.89 19.54 23.60 12.52 
#>   145   175    45   139    58    36 170.2  56.1    40  99.3 133.1 133.2 168.1 
#> 10.07 21.91 17.42 21.49 19.34 21.19 19.54 12.21 18.00 21.19 14.65 14.65 23.72 
#>  81.2 159.1  24.3   171  40.1  77.1 145.1  25.1    39 170.3 180.1    86  57.1 
#> 14.06 10.55 23.89 16.57 18.00  7.27 10.07  6.32 15.59 19.54 14.82 23.81 14.46 
#> 181.1    85  76.2    62    27    84   176    80    71  27.1   182   147    35 
#> 16.46 16.44 19.22 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   186    34   112   119   161   143    31    98   144    87   151   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191   102    75  27.2 182.1 182.2   165   116    12  87.1   109    28   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142    67   132  67.1   163  87.2    53  84.1    19     9   173    83   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137    33    72   185 142.1 143.1 163.1  84.2  87.3    82  12.1 142.2   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1    74    20    38  33.1  33.2 109.1   120 109.2 191.1 191.2  83.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131 178.1 174.1   172 186.1    64  31.1    94  35.1 102.1 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[26]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007104708               0.330132982               0.255806742 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.51681776              0.01162253             -0.25138590 
#>   grade_iii, Cure model 
#>              0.85960710 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 140   12.68      1  59        1         0
#> 61    10.12      1  36        0         1
#> 81    14.06      1  34        0         0
#> 30    17.43      1  78        0         0
#> 42    12.43      1  49        0         1
#> 60    13.15      1  38        1         0
#> 97    19.14      1  65        0         1
#> 155   13.08      1  26        0         0
#> 43    12.10      1  61        0         1
#> 177   12.53      1  75        0         0
#> 123   13.00      1  44        1         0
#> 180   14.82      1  37        0         0
#> 100   16.07      1  60        0         0
#> 188   16.16      1  46        0         1
#> 36    21.19      1  48        0         1
#> 100.1 16.07      1  60        0         0
#> 93    10.33      1  52        0         1
#> 55    19.34      1  69        0         1
#> 125   15.65      1  67        1         0
#> 179   18.63      1  42        0         0
#> 100.2 16.07      1  60        0         0
#> 128   20.35      1  35        0         1
#> 59    10.16      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 63.1  22.77      1  31        1         0
#> 127    3.53      1  62        0         1
#> 113   22.86      1  34        0         0
#> 100.3 16.07      1  60        0         0
#> 129   23.41      1  53        1         0
#> 100.4 16.07      1  60        0         0
#> 79    16.23      1  54        1         0
#> 166   19.98      1  48        0         0
#> 10    10.53      1  34        0         0
#> 168   23.72      1  70        0         0
#> 180.1 14.82      1  37        0         0
#> 113.1 22.86      1  34        0         0
#> 76    19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 70     7.38      1  30        1         0
#> 23    16.92      1  61        0         0
#> 139   21.49      1  63        1         0
#> 139.1 21.49      1  63        1         0
#> 168.1 23.72      1  70        0         0
#> 155.1 13.08      1  26        0         0
#> 145   10.07      1  65        1         0
#> 99    21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 108   18.29      1  39        0         1
#> 10.1  10.53      1  34        0         0
#> 15    22.68      1  48        0         0
#> 29    15.45      1  68        1         0
#> 197   21.60      1  69        1         0
#> 133   14.65      1  57        0         0
#> 195   11.76      1  NA        1         0
#> 128.1 20.35      1  35        0         1
#> 154   12.63      1  20        1         0
#> 89    11.44      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 181   16.46      1  45        0         1
#> 133.1 14.65      1  57        0         0
#> 153   21.33      1  55        1         0
#> 76.1  19.22      1  54        0         1
#> 108.1 18.29      1  39        0         1
#> 128.2 20.35      1  35        0         1
#> 166.1 19.98      1  48        0         0
#> 51    18.23      1  83        0         1
#> 39    15.59      1  37        0         1
#> 32    20.90      1  37        1         0
#> 111   17.45      1  47        0         1
#> 88    18.37      1  47        0         0
#> 181.1 16.46      1  45        0         1
#> 52    10.42      1  52        0         1
#> 97.1  19.14      1  65        0         1
#> 155.2 13.08      1  26        0         0
#> 86    23.81      1  58        0         1
#> 199   19.81      1  NA        0         1
#> 25     6.32      1  34        1         0
#> 180.2 14.82      1  37        0         0
#> 39.1  15.59      1  37        0         1
#> 197.1 21.60      1  69        1         0
#> 107   11.18      1  54        1         0
#> 130   16.47      1  53        0         1
#> 168.2 23.72      1  70        0         0
#> 32.1  20.90      1  37        1         0
#> 24    23.89      1  38        0         0
#> 170   19.54      1  43        0         1
#> 170.1 19.54      1  43        0         1
#> 60.1  13.15      1  38        1         0
#> 51.1  18.23      1  83        0         1
#> 60.2  13.15      1  38        1         0
#> 197.2 21.60      1  69        1         0
#> 99.1  21.19      1  38        0         1
#> 194   22.40      1  38        0         1
#> 177.1 12.53      1  75        0         0
#> 59.1  10.16      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 37    12.52      1  57        1         0
#> 57    14.46      1  45        0         1
#> 42.1  12.43      1  49        0         1
#> 90    20.94      1  50        0         1
#> 183    9.24      1  67        1         0
#> 91.1   5.33      1  61        0         1
#> 187    9.92      1  39        1         0
#> 181.2 16.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 157   15.10      1  47        0         0
#> 42.2  12.43      1  49        0         1
#> 49    12.19      1  48        1         0
#> 68    20.62      1  44        0         0
#> 168.3 23.72      1  70        0         0
#> 76.2  19.22      1  54        0         1
#> 123.1 13.00      1  44        1         0
#> 54    24.00      0  53        1         0
#> 193   24.00      0  45        0         1
#> 186   24.00      0  45        1         0
#> 142   24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 142.1 24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 178   24.00      0  52        1         0
#> 138   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 178.1 24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 198   24.00      0  66        0         1
#> 94    24.00      0  51        0         1
#> 82    24.00      0  34        0         0
#> 147   24.00      0  76        1         0
#> 172   24.00      0  41        0         0
#> 54.1  24.00      0  53        1         0
#> 7.1   24.00      0  37        1         0
#> 3     24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 146.1 24.00      0  63        1         0
#> 121   24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 162   24.00      0  51        0         0
#> 138.1 24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 162.1 24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 198.1 24.00      0  66        0         1
#> 176   24.00      0  43        0         1
#> 1     24.00      0  23        1         0
#> 104   24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 71    24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 19    24.00      0  57        0         1
#> 172.1 24.00      0  41        0         0
#> 163.1 24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 1.1   24.00      0  23        1         0
#> 11    24.00      0  42        0         1
#> 103   24.00      0  56        1         0
#> 21    24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 112   24.00      0  61        0         0
#> 9     24.00      0  31        1         0
#> 46.1  24.00      0  71        0         0
#> 103.1 24.00      0  56        1         0
#> 20    24.00      0  46        1         0
#> 109   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 22    24.00      0  52        1         0
#> 198.2 24.00      0  66        0         1
#> 84    24.00      0  39        0         1
#> 21.1  24.00      0  47        0         0
#> 176.1 24.00      0  43        0         1
#> 144   24.00      0  28        0         1
#> 28    24.00      0  67        1         0
#> 119   24.00      0  17        0         0
#> 102   24.00      0  49        0         0
#> 2     24.00      0   9        0         0
#> 121.1 24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 172.2 24.00      0  41        0         0
#> 176.2 24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 54.2  24.00      0  53        1         0
#> 144.1 24.00      0  28        0         1
#> 186.1 24.00      0  45        1         0
#> 22.1  24.00      0  52        1         0
#> 54.3  24.00      0  53        1         0
#> 121.2 24.00      0  57        1         0
#> 143   24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 3.2   24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 1.2   24.00      0  23        1         0
#> 132   24.00      0  55        0         0
#> 82.1  24.00      0  34        0         0
#> 132.1 24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 84.1  24.00      0  39        0         1
#> 1.3   24.00      0  23        1         0
#> 54.4  24.00      0  53        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.517         NA        NA      NA
#> 2 age, Cure model           0.0116        NA        NA      NA
#> 3 grade_ii, Cure model     -0.251         NA        NA      NA
#> 4 grade_iii, Cure model     0.860         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00710        NA        NA      NA
#> 2 grade_ii, Survival model   0.330          NA        NA      NA
#> 3 grade_iii, Survival model  0.256          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.51682           0.01162          -0.25139           0.85961  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 256.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.51681776       0.01162253      -0.25138590       0.85960710 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007104708      0.330132982      0.255806742 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.745917705 0.903803770 0.653324029 0.397353165 0.798217112 0.663724366
#>   [7] 0.304937642 0.694351417 0.840089423 0.766768115 0.725208216 0.592188201
#>  [13] 0.483638965 0.473923964 0.150054420 0.483638965 0.893123263 0.269571910
#>  [19] 0.531920483 0.322987857 0.483638965 0.209343927 0.068109079 0.068109079
#>  [25] 0.989263450 0.052169721 0.483638965 0.036094159 0.483638965 0.464222602
#>  [31] 0.234543066 0.861279120 0.013447628 0.592188201 0.052169721 0.278553682
#>  [37] 0.406887779 0.946575164 0.416449291 0.124497040 0.124497040 0.013447628
#>  [43] 0.694351417 0.914484275 0.150054420 0.044074972 0.341505734 0.861279120
#>  [49] 0.083644613 0.561898323 0.100463932 0.622416681 0.209343927 0.756357772
#>  [55] 0.967945680 0.435752872 0.622416681 0.141336216 0.278553682 0.341505734
#>  [61] 0.209343927 0.234543066 0.359864847 0.541973508 0.183618386 0.387914911
#>  [67] 0.332210160 0.435752872 0.882456459 0.304937642 0.694351417 0.007250231
#>  [73] 0.957265944 0.592188201 0.541973508 0.100463932 0.850680833 0.426088644
#>  [79] 0.013447628 0.183618386 0.001956381 0.252027750 0.252027750 0.663724366
#>  [85] 0.359864847 0.663724366 0.100463932 0.150054420 0.092048602 0.766768115
#>  [91] 0.571976229 0.787680451 0.642959103 0.798217112 0.174877242 0.935869379
#>  [97] 0.967945680 0.925180192 0.435752872 0.378493891 0.582057307 0.798217112
#> [103] 0.829519697 0.200576109 0.013447628 0.278553682 0.725208216 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>   140    61    81    30    42    60    97   155    43   177   123   180   100 
#> 12.68 10.12 14.06 17.43 12.43 13.15 19.14 13.08 12.10 12.53 13.00 14.82 16.07 
#>   188    36 100.1    93    55   125   179 100.2   128    63  63.1   127   113 
#> 16.16 21.19 16.07 10.33 19.34 15.65 18.63 16.07 20.35 22.77 22.77  3.53 22.86 
#> 100.3   129 100.4    79   166    10   168 180.1 113.1    76    45    70    23 
#> 16.07 23.41 16.07 16.23 19.98 10.53 23.72 14.82 22.86 19.22 17.42  7.38 16.92 
#>   139 139.1 168.1 155.1   145    99    92   108  10.1    15    29   197   133 
#> 21.49 21.49 23.72 13.08 10.07 21.19 22.92 18.29 10.53 22.68 15.45 21.60 14.65 
#> 128.1   154    91   181 133.1   153  76.1 108.1 128.2 166.1    51    39    32 
#> 20.35 12.63  5.33 16.46 14.65 21.33 19.22 18.29 20.35 19.98 18.23 15.59 20.90 
#>   111    88 181.1    52  97.1 155.2    86    25 180.2  39.1 197.1   107   130 
#> 17.45 18.37 16.46 10.42 19.14 13.08 23.81  6.32 14.82 15.59 21.60 11.18 16.47 
#> 168.2  32.1    24   170 170.1  60.1  51.1  60.2 197.2  99.1   194 177.1    18 
#> 23.72 20.90 23.89 19.54 19.54 13.15 18.23 13.15 21.60 21.19 22.40 12.53 15.21 
#>    37    57  42.1    90   183  91.1   187 181.2    41   157  42.2    49    68 
#> 12.52 14.46 12.43 20.94  9.24  5.33  9.92 16.46 18.02 15.10 12.43 12.19 20.62 
#> 168.3  76.2 123.1    54   193   186   142    17    27 142.1    80   178   138 
#> 23.72 19.22 13.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 178.1     7   198    94    82   147   172  54.1   7.1     3   146 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121    31    65   162 138.1   163 162.1   200 198.1   176     1   104    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   161    19 172.1 163.1   1.1    11   103    21   126   112     9  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1    20   109   141    12    22 198.2    84  21.1 176.1   144    28   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102     2 121.1    74 172.2 176.2    64  54.2 144.1 186.1  22.1  54.3 121.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   3.1   3.2  12.1   1.2   132  82.1 132.1   148  84.1   1.3  54.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[27]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01487397                0.67282372                0.55844343 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.164409734            -0.001266247             0.224827849 
#>   grade_iii, Cure model 
#>             1.036184613 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 184   17.77      1  38        0         0
#> 26    15.77      1  49        0         1
#> 97    19.14      1  65        0         1
#> 25     6.32      1  34        1         0
#> 175   21.91      1  43        0         0
#> 184.1 17.77      1  38        0         0
#> 179   18.63      1  42        0         0
#> 136   21.83      1  43        0         1
#> 4     17.64      1  NA        0         1
#> 37    12.52      1  57        1         0
#> 13    14.34      1  54        0         1
#> 41    18.02      1  40        1         0
#> 16     8.71      1  71        0         1
#> 167   15.55      1  56        1         0
#> 167.1 15.55      1  56        1         0
#> 114   13.68      1  NA        0         0
#> 16.1   8.71      1  71        0         1
#> 52    10.42      1  52        0         1
#> 179.1 18.63      1  42        0         0
#> 25.1   6.32      1  34        1         0
#> 100   16.07      1  60        0         0
#> 78    23.88      1  43        0         0
#> 43    12.10      1  61        0         1
#> 197   21.60      1  69        1         0
#> 85    16.44      1  36        0         0
#> 76    19.22      1  54        0         1
#> 50    10.02      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 66    22.13      1  53        0         0
#> 190   20.81      1  42        1         0
#> 13.1  14.34      1  54        0         1
#> 194   22.40      1  38        0         1
#> 136.1 21.83      1  43        0         1
#> 24    23.89      1  38        0         0
#> 61    10.12      1  36        0         1
#> 77     7.27      1  67        0         1
#> 37.1  12.52      1  57        1         0
#> 29    15.45      1  68        1         0
#> 69    23.23      1  25        0         1
#> 149    8.37      1  33        1         0
#> 58    19.34      1  39        0         0
#> 56    12.21      1  60        0         0
#> 63    22.77      1  31        1         0
#> 181   16.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 167.2 15.55      1  56        1         0
#> 10    10.53      1  34        0         0
#> 127    3.53      1  62        0         1
#> 194.1 22.40      1  38        0         1
#> 24.1  23.89      1  38        0         0
#> 154   12.63      1  20        1         0
#> 134   17.81      1  47        1         0
#> 5     16.43      1  51        0         1
#> 70     7.38      1  30        1         0
#> 89    11.44      1  NA        0         0
#> 8     18.43      1  32        0         0
#> 184.2 17.77      1  38        0         0
#> 111.1 17.45      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 197.1 21.60      1  69        1         0
#> 153   21.33      1  55        1         0
#> 66.1  22.13      1  53        0         0
#> 171   16.57      1  41        0         1
#> 66.2  22.13      1  53        0         0
#> 90    20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 93    10.33      1  52        0         1
#> 179.2 18.63      1  42        0         0
#> 183    9.24      1  67        1         0
#> 86    23.81      1  58        0         1
#> 39    15.59      1  37        0         1
#> 124    9.73      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 13.2  14.34      1  54        0         1
#> 89.1  11.44      1  NA        0         0
#> 170   19.54      1  43        0         1
#> 91     5.33      1  61        0         1
#> 139   21.49      1  63        1         0
#> 169   22.41      1  46        0         0
#> 41.1  18.02      1  40        1         0
#> 195   11.76      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 77.1   7.27      1  67        0         1
#> 25.2   6.32      1  34        1         0
#> 170.1 19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 89.2  11.44      1  NA        0         0
#> 167.3 15.55      1  56        1         0
#> 125   15.65      1  67        1         0
#> 108   18.29      1  39        0         1
#> 4.1   17.64      1  NA        0         1
#> 89.3  11.44      1  NA        0         0
#> 61.1  10.12      1  36        0         1
#> 60    13.15      1  38        1         0
#> 149.1  8.37      1  33        1         0
#> 6     15.64      1  39        0         0
#> 199   19.81      1  NA        0         1
#> 134.1 17.81      1  47        1         0
#> 59    10.16      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 140   12.68      1  59        1         0
#> 181.1 16.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 166   19.98      1  48        0         0
#> 129   23.41      1  53        1         0
#> 32.1  20.90      1  37        1         0
#> 93.1  10.33      1  52        0         1
#> 70.1   7.38      1  30        1         0
#> 100.1 16.07      1  60        0         0
#> 184.3 17.77      1  38        0         0
#> 69.1  23.23      1  25        0         1
#> 144   24.00      0  28        0         1
#> 109   24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 122   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 65    24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 118   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 98    24.00      0  34        1         0
#> 12    24.00      0  63        0         0
#> 118.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 191   24.00      0  60        0         1
#> 146   24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 174   24.00      0  49        1         0
#> 80    24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 102   24.00      0  49        0         0
#> 109.1 24.00      0  48        0         0
#> 80.1  24.00      0  41        0         0
#> 148.1 24.00      0  61        1         0
#> 72    24.00      0  40        0         1
#> 193   24.00      0  45        0         1
#> 109.2 24.00      0  48        0         0
#> 198.1 24.00      0  66        0         1
#> 80.2  24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 44    24.00      0  56        0         0
#> 84    24.00      0  39        0         1
#> 9     24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 147   24.00      0  76        1         0
#> 75    24.00      0  21        1         0
#> 12.1  24.00      0  63        0         0
#> 87    24.00      0  27        0         0
#> 121   24.00      0  57        1         0
#> 46    24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 31.1  24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 9.1   24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 112   24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 73    24.00      0  NA        0         1
#> 3     24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 62.1  24.00      0  71        0         0
#> 196   24.00      0  19        0         0
#> 11.1  24.00      0  42        0         1
#> 75.1  24.00      0  21        1         0
#> 165   24.00      0  47        0         0
#> 146.1 24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 54.1  24.00      0  53        1         0
#> 143.1 24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 115   24.00      0  NA        1         0
#> 147.1 24.00      0  76        1         0
#> 161.1 24.00      0  45        0         0
#> 178   24.00      0  52        1         0
#> 74    24.00      0  43        0         1
#> 176   24.00      0  43        0         1
#> 7     24.00      0  37        1         0
#> 72.1  24.00      0  40        0         1
#> 62.2  24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 148.2 24.00      0  61        1         0
#> 1     24.00      0  23        1         0
#> 22.1  24.00      0  52        1         0
#> 148.3 24.00      0  61        1         0
#> 98.1  24.00      0  34        1         0
#> 160   24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 82.1  24.00      0  34        0         0
#> 182.1 24.00      0  35        0         0
#> 27    24.00      0  63        1         0
#> 12.2  24.00      0  63        0         0
#> 2.1   24.00      0   9        0         0
#> 160.1 24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.164          NA        NA      NA
#> 2 age, Cure model         -0.00127        NA        NA      NA
#> 3 grade_ii, Cure model     0.225          NA        NA      NA
#> 4 grade_iii, Cure model    1.04           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0149        NA        NA      NA
#> 2 grade_ii, Survival model    0.673         NA        NA      NA
#> 3 grade_iii, Survival model   0.558         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.164410         -0.001266          0.224828          1.036185  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 247.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.164409734     -0.001266247      0.224827849      1.036184613 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01487397       0.67282372       0.55844343 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7616370 0.8424457 0.6977259 0.9846823 0.5406011 0.7616370 0.7045523
#>   [8] 0.5665784 0.9113672 0.8831102 0.7374540 0.9587375 0.8615365 0.8615365
#>  [15] 0.9587375 0.9302909 0.7045523 0.9846823 0.8325538 0.2601086 0.9228010
#>  [22] 0.5900650 0.8171096 0.6906506 0.7845288 0.5003989 0.6531359 0.8831102
#>  [29] 0.4702844 0.5665784 0.1473571 0.9412127 0.9783821 0.9113672 0.8788439
#>  [36] 0.3733448 0.9653817 0.6833585 0.9189997 0.4149290 0.8066090 0.9518367
#>  [43] 0.8615365 0.9265510 0.9969749 0.4702844 0.1473571 0.9074247 0.7498322
#>  [50] 0.8223529 0.9719267 0.7243395 0.7616370 0.7845288 0.5406011 0.5900650
#>  [57] 0.6194357 0.5003989 0.8011701 0.5003989 0.6283970 0.7956481 0.9339895
#>  [64] 0.7045523 0.9553140 0.3128614 0.8568434 0.6370288 0.8831102 0.6687299
#>  [71] 0.9939183 0.6100049 0.4525871 0.7374540 0.4341831 0.9783821 0.9846823
#>  [78] 0.6687299 0.8953356 0.8615365 0.8473309 0.7309592 0.9412127 0.8994172
#>  [85] 0.9653817 0.8520976 0.7498322 0.8275064 0.9034539 0.8066090 0.9483274
#>  [92] 0.6609808 0.3473713 0.6370288 0.9339895 0.9719267 0.8325538 0.7616370
#>  [99] 0.3733448 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   184    26    97    25   175 184.1   179   136    37    13    41    16   167 
#> 17.77 15.77 19.14  6.32 21.91 17.77 18.63 21.83 12.52 14.34 18.02  8.71 15.55 
#> 167.1  16.1    52 179.1  25.1   100    78    43   197    85    76   111    66 
#> 15.55  8.71 10.42 18.63  6.32 16.07 23.88 12.10 21.60 16.44 19.22 17.45 22.13 
#>   190  13.1   194 136.1    24    61    77  37.1    29    69   149    58    56 
#> 20.81 14.34 22.40 21.83 23.89 10.12  7.27 12.52 15.45 23.23  8.37 19.34 12.21 
#>    63   181   187 167.2    10   127 194.1  24.1   154   134     5    70     8 
#> 22.77 16.46  9.92 15.55 10.53  3.53 22.40 23.89 12.63 17.81 16.43  7.38 18.43 
#> 184.2 111.1 175.1 197.1   153  66.1   171  66.2    90    23    93 179.2   183 
#> 17.77 17.45 21.91 21.60 21.33 22.13 16.57 22.13 20.94 16.92 10.33 18.63  9.24 
#>    86    39    32  13.2   170    91   139   169  41.1    15  77.1  25.2 170.1 
#> 23.81 15.59 20.90 14.34 19.54  5.33 21.49 22.41 18.02 22.68  7.27  6.32 19.54 
#>    81 167.3   125   108  61.1    60 149.1     6 134.1    79   140 181.1   145 
#> 14.06 15.55 15.65 18.29 10.12 13.15  8.37 15.64 17.81 16.23 12.68 16.46 10.07 
#>   166   129  32.1  93.1  70.1 100.1 184.3  69.1   144   109    31   143    54 
#> 19.98 23.41 20.90 10.33  7.38 16.07 17.77 23.23 24.00 24.00 24.00 24.00 24.00 
#>   122    19    65    82   118   198    98    12 118.1   132   191   146   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174    80   151   102 109.1  80.1 148.1    72   193 109.2 198.1  80.2   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    84     9     2   147    75  12.1    87   121    46   156  31.1   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   9.1   163    62   112   161     3   141   138    11  62.1   196  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1   165 146.1   182  54.1 143.1 112.1 147.1 161.1   178    74   176     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1  62.2    22 148.2     1  22.1 148.3  98.1   160    21  82.1 182.1    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.2   2.1 160.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[28]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02099979                0.28872831                0.34485884 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              1.07491553             -0.02669057              0.31381097 
#>   grade_iii, Cure model 
#>              0.65018218 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 130   16.47      1  53        0         1
#> 69    23.23      1  25        0         1
#> 153   21.33      1  55        1         0
#> 192   16.44      1  31        1         0
#> 41    18.02      1  40        1         0
#> 24    23.89      1  38        0         0
#> 97    19.14      1  65        0         1
#> 180   14.82      1  37        0         0
#> 108   18.29      1  39        0         1
#> 136   21.83      1  43        0         1
#> 169   22.41      1  46        0         0
#> 60    13.15      1  38        1         0
#> 111   17.45      1  47        0         1
#> 45    17.42      1  54        0         1
#> 96    14.54      1  33        0         1
#> 90    20.94      1  50        0         1
#> 26    15.77      1  49        0         1
#> 81    14.06      1  34        0         0
#> 168   23.72      1  70        0         0
#> 89    11.44      1  NA        0         0
#> 56    12.21      1  60        0         0
#> 124    9.73      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 60.1  13.15      1  38        1         0
#> 111.1 17.45      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 41.1  18.02      1  40        1         0
#> 153.1 21.33      1  55        1         0
#> 8     18.43      1  32        0         0
#> 181   16.46      1  45        0         1
#> 166.1 19.98      1  48        0         0
#> 107   11.18      1  54        1         0
#> 117   17.46      1  26        0         1
#> 145   10.07      1  65        1         0
#> 89.2  11.44      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 194   22.40      1  38        0         1
#> 32    20.90      1  37        1         0
#> 68    20.62      1  44        0         0
#> 88    18.37      1  47        0         0
#> 175   21.91      1  43        0         0
#> 90.1  20.94      1  50        0         1
#> 99    21.19      1  38        0         1
#> 86    23.81      1  58        0         1
#> 139   21.49      1  63        1         0
#> 170   19.54      1  43        0         1
#> 188   16.16      1  46        0         1
#> 14    12.89      1  21        0         0
#> 130.1 16.47      1  53        0         1
#> 159   10.55      1  50        0         1
#> 197   21.60      1  69        1         0
#> 85    16.44      1  36        0         0
#> 63    22.77      1  31        1         0
#> 96.1  14.54      1  33        0         1
#> 61    10.12      1  36        0         1
#> 158   20.14      1  74        1         0
#> 195   11.76      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 32.1  20.90      1  37        1         0
#> 130.2 16.47      1  53        0         1
#> 154   12.63      1  20        1         0
#> 59    10.16      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 41.2  18.02      1  40        1         0
#> 24.1  23.89      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 81.1  14.06      1  34        0         0
#> 154.1 12.63      1  20        1         0
#> 130.3 16.47      1  53        0         1
#> 97.1  19.14      1  65        0         1
#> 155   13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 32.2  20.90      1  37        1         0
#> 25     6.32      1  34        1         0
#> 129   23.41      1  53        1         0
#> 139.1 21.49      1  63        1         0
#> 5     16.43      1  51        0         1
#> 25.1   6.32      1  34        1         0
#> 197.1 21.60      1  69        1         0
#> 40    18.00      1  28        1         0
#> 108.1 18.29      1  39        0         1
#> 199.1 19.81      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 180.1 14.82      1  37        0         0
#> 125   15.65      1  67        1         0
#> 114.1 13.68      1  NA        0         0
#> 107.1 11.18      1  54        1         0
#> 90.2  20.94      1  50        0         1
#> 155.1 13.08      1  26        0         0
#> 15.1  22.68      1  48        0         0
#> 188.1 16.16      1  46        0         1
#> 150   20.33      1  48        0         0
#> 77     7.27      1  67        0         1
#> 167   15.55      1  56        1         0
#> 23    16.92      1  61        0         0
#> 25.2   6.32      1  34        1         0
#> 129.1 23.41      1  53        1         0
#> 14.1  12.89      1  21        0         0
#> 4     17.64      1  NA        0         1
#> 60.2  13.15      1  38        1         0
#> 58    19.34      1  39        0         0
#> 70     7.38      1  30        1         0
#> 154.2 12.63      1  20        1         0
#> 129.2 23.41      1  53        1         0
#> 155.2 13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 41.3  18.02      1  40        1         0
#> 129.3 23.41      1  53        1         0
#> 6.1   15.64      1  39        0         0
#> 16     8.71      1  71        0         1
#> 195.1 11.76      1  NA        1         0
#> 165   24.00      0  47        0         0
#> 147   24.00      0  76        1         0
#> 146   24.00      0  63        1         0
#> 135   24.00      0  58        1         0
#> 46    24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 84    24.00      0  39        0         1
#> 67    24.00      0  25        0         0
#> 178   24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 65    24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 80    24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 1     24.00      0  23        1         0
#> 48    24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 126   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 178.1 24.00      0  52        1         0
#> 27    24.00      0  63        1         0
#> 28    24.00      0  67        1         0
#> 165.1 24.00      0  47        0         0
#> 135.1 24.00      0  58        1         0
#> 198   24.00      0  66        0         1
#> 47    24.00      0  38        0         1
#> 38    24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 172   24.00      0  41        0         0
#> 146.1 24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 73    24.00      0  NA        0         1
#> 132   24.00      0  55        0         0
#> 19    24.00      0  57        0         1
#> 74    24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 146.2 24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 120.1 24.00      0  68        0         1
#> 31    24.00      0  36        0         1
#> 146.3 24.00      0  63        1         0
#> 47.1  24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 135.2 24.00      0  58        1         0
#> 122   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 22    24.00      0  52        1         0
#> 17    24.00      0  38        0         1
#> 119   24.00      0  17        0         0
#> 33    24.00      0  53        0         0
#> 28.1  24.00      0  67        1         0
#> 11    24.00      0  42        0         1
#> 3.1   24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 33.1  24.00      0  53        0         0
#> 165.2 24.00      0  47        0         0
#> 185   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 172.1 24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 144   24.00      0  28        0         1
#> 138   24.00      0  44        1         0
#> 94.1  24.00      0  51        0         1
#> 126.1 24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 104   24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 126.2 24.00      0  48        0         0
#> 120.2 24.00      0  68        0         1
#> 11.1  24.00      0  42        0         1
#> 178.2 24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 87.1  24.00      0  27        0         0
#> 161   24.00      0  45        0         0
#> 198.1 24.00      0  66        0         1
#> 148.1 24.00      0  61        1         0
#> 74.1  24.00      0  43        0         1
#> 132.1 24.00      0  55        0         0
#> 53    24.00      0  32        0         1
#> 33.2  24.00      0  53        0         0
#> 38.1  24.00      0  31        1         0
#> 80.1  24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   1.07          NA        NA      NA
#> 2 age, Cure model          -0.0267        NA        NA      NA
#> 3 grade_ii, Cure model      0.314         NA        NA      NA
#> 4 grade_iii, Cure model     0.650         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0210        NA        NA      NA
#> 2 grade_ii, Survival model    0.289         NA        NA      NA
#> 3 grade_iii, Survival model   0.345         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          1.07492          -0.02669           0.31381           0.65018  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 248.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       1.07491553      -0.02669057       0.31381097       0.65018218 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02099979       0.28872831       0.34485884 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.755926e-01 5.723247e-03 3.724564e-02 3.317887e-01 1.782618e-01
#>   [6] 4.538965e-05 1.279698e-01 4.614087e-01 1.607411e-01 2.040936e-02
#>  [11] 1.284059e-02 5.648657e-01 2.341418e-01 2.542731e-01 4.901009e-01
#>  [16] 5.036874e-02 3.936341e-01 5.343387e-01 8.933912e-04 7.594513e-01
#>  [21] 5.648657e-01 2.341418e-01 9.943376e-02 1.782618e-01 3.724564e-02
#>  [26] 1.437466e-01 3.198912e-01 9.943376e-02 7.943730e-01 2.242620e-01
#>  [31] 8.665433e-01 4.200649e-01 1.519318e-02 6.487433e-02 8.076232e-02
#>  [36] 1.520950e-01 1.768701e-02 5.036874e-02 4.573918e-02 4.183677e-04
#>  [41] 2.974592e-02 1.131578e-01 3.683357e-01 6.597267e-01 2.755926e-01
#>  [46] 8.299966e-01 2.329680e-02 3.317887e-01 7.288023e-03 4.901009e-01
#>  [51] 8.482036e-01 9.291124e-02 7.768115e-01 6.487433e-02 2.755926e-01
#>  [56] 6.928506e-01 7.423708e-01 1.782618e-01 4.538965e-05 5.343387e-01
#>  [61] 6.928506e-01 2.755926e-01 1.279698e-01 6.115220e-01 6.487433e-02
#>  [66] 9.422396e-01 1.704462e-03 2.974592e-02 3.558651e-01 9.422396e-01
#>  [71] 2.329680e-02 2.144610e-01 1.607411e-01 8.963140e-03 4.614087e-01
#>  [76] 4.067050e-01 7.943730e-01 5.036874e-02 6.115220e-01 8.963140e-03
#>  [81] 3.683357e-01 8.670168e-02 9.229964e-01 4.473137e-01 2.647779e-01
#>  [86] 9.422396e-01 1.704462e-03 6.597267e-01 5.648657e-01 1.204365e-01
#>  [91] 9.040122e-01 6.928506e-01 1.704462e-03 6.115220e-01 5.192959e-01
#>  [96] 1.782618e-01 1.704462e-03 4.200649e-01 8.851425e-01 0.000000e+00
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   130    69   153   192    41    24    97   180   108   136   169    60   111 
#> 16.47 23.23 21.33 16.44 18.02 23.89 19.14 14.82 18.29 21.83 22.41 13.15 17.45 
#>    45    96    90    26    81   168    56  60.1 111.1   166  41.1 153.1     8 
#> 17.42 14.54 20.94 15.77 14.06 23.72 12.21 13.15 17.45 19.98 18.02 21.33 18.43 
#>   181 166.1   107   117   145     6   194    32    68    88   175  90.1    99 
#> 16.46 19.98 11.18 17.46 10.07 15.64 22.40 20.90 20.62 18.37 21.91 20.94 21.19 
#>    86   139   170   188    14 130.1   159   197    85    63  96.1    61   158 
#> 23.81 21.49 19.54 16.16 12.89 16.47 10.55 21.60 16.44 22.77 14.54 10.12 20.14 
#>    49  32.1 130.2   154    42  41.2  24.1  81.1 154.1 130.3  97.1   155  32.2 
#> 12.19 20.90 16.47 12.63 12.43 18.02 23.89 14.06 12.63 16.47 19.14 13.08 20.90 
#>    25   129 139.1     5  25.1 197.1    40 108.1    15 180.1   125 107.1  90.2 
#>  6.32 23.41 21.49 16.43  6.32 21.60 18.00 18.29 22.68 14.82 15.65 11.18 20.94 
#> 155.1  15.1 188.1   150    77   167    23  25.2 129.1  14.1  60.2    58    70 
#> 13.08 22.68 16.16 20.33  7.27 15.55 16.92  6.32 23.41 12.89 13.15 19.34  7.38 
#> 154.2 129.2 155.2    13  41.3 129.3   6.1    16   165   147   146   135    46 
#> 12.63 23.41 13.08 14.34 18.02 23.41 15.64  8.71 24.00 24.00 24.00 24.00 24.00 
#>   120    84    67   178    87    65   131   118    54    80   156     1    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151   126     9   121 178.1    27    28 165.1 135.1   198    47    38    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172 146.1   182   132    19    74     3 146.2   148 120.1    31 146.3  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.2   122    75    22    17   119    33  28.1    11   3.1    62  33.1 165.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   200    72 172.1    94   144   138  94.1 126.1    95   102   104   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.2 120.2  11.1 178.2   193  87.1   161 198.1 148.1  74.1 132.1    53  33.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1  80.1    21 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[29]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007240729               0.769143733               0.252110917 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.22110584              0.00320813              0.06447885 
#>   grade_iii, Cure model 
#>              0.65352754 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 88    18.37      1  47        0         0
#> 85    16.44      1  36        0         0
#> 199   19.81      1  NA        0         1
#> 85.1  16.44      1  36        0         0
#> 89    11.44      1  NA        0         0
#> 29    15.45      1  68        1         0
#> 61    10.12      1  36        0         1
#> 81    14.06      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 167   15.55      1  56        1         0
#> 49    12.19      1  48        1         0
#> 10    10.53      1  34        0         0
#> 55    19.34      1  69        0         1
#> 179   18.63      1  42        0         0
#> 96    14.54      1  33        0         1
#> 108   18.29      1  39        0         1
#> 70     7.38      1  30        1         0
#> 29.1  15.45      1  68        1         0
#> 105   19.75      1  60        0         0
#> 106   16.67      1  49        1         0
#> 49.1  12.19      1  48        1         0
#> 42    12.43      1  49        0         1
#> 68    20.62      1  44        0         0
#> 52    10.42      1  52        0         1
#> 32    20.90      1  37        1         0
#> 51    18.23      1  83        0         1
#> 149    8.37      1  33        1         0
#> 42.1  12.43      1  49        0         1
#> 105.1 19.75      1  60        0         0
#> 76    19.22      1  54        0         1
#> 150   20.33      1  48        0         0
#> 51.1  18.23      1  83        0         1
#> 26    15.77      1  49        0         1
#> 85.2  16.44      1  36        0         0
#> 85.3  16.44      1  36        0         0
#> 45    17.42      1  54        0         1
#> 52.1  10.42      1  52        0         1
#> 50    10.02      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 86    23.81      1  58        0         1
#> 110   17.56      1  65        0         1
#> 187    9.92      1  39        1         0
#> 36    21.19      1  48        0         1
#> 81.1  14.06      1  34        0         0
#> 24    23.89      1  38        0         0
#> 76.1  19.22      1  54        0         1
#> 128   20.35      1  35        0         1
#> 8.1   18.43      1  32        0         0
#> 154   12.63      1  20        1         0
#> 155   13.08      1  26        0         0
#> 88.1  18.37      1  47        0         0
#> 25     6.32      1  34        1         0
#> 6     15.64      1  39        0         0
#> 166   19.98      1  48        0         0
#> 89.1  11.44      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 117   17.46      1  26        0         1
#> 52.2  10.42      1  52        0         1
#> 140   12.68      1  59        1         0
#> 57    14.46      1  45        0         1
#> 88.2  18.37      1  47        0         0
#> 195   11.76      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 107   11.18      1  54        1         0
#> 68.1  20.62      1  44        0         0
#> 100   16.07      1  60        0         0
#> 81.2  14.06      1  34        0         0
#> 25.1   6.32      1  34        1         0
#> 145.1 10.07      1  65        1         0
#> 124.1  9.73      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 50.1  10.02      1  NA        1         0
#> 42.2  12.43      1  49        0         1
#> 159   10.55      1  50        0         1
#> 55.1  19.34      1  69        0         1
#> 66    22.13      1  53        0         0
#> 194   22.40      1  38        0         1
#> 99.1  21.19      1  38        0         1
#> 157   15.10      1  47        0         0
#> 91     5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 55.2  19.34      1  69        0         1
#> 114   13.68      1  NA        0         0
#> 180   14.82      1  37        0         0
#> 187.1  9.92      1  39        1         0
#> 50.2  10.02      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 158   20.14      1  74        1         0
#> 106.1 16.67      1  49        1         0
#> 166.1 19.98      1  48        0         0
#> 30    17.43      1  78        0         0
#> 66.1  22.13      1  53        0         0
#> 125   15.65      1  67        1         0
#> 13    14.34      1  54        0         1
#> 6.1   15.64      1  39        0         0
#> 107.1 11.18      1  54        1         0
#> 183    9.24      1  67        1         0
#> 42.3  12.43      1  49        0         1
#> 68.2  20.62      1  44        0         0
#> 14    12.89      1  21        0         0
#> 184   17.77      1  38        0         0
#> 130   16.47      1  53        0         1
#> 128.1 20.35      1  35        0         1
#> 5     16.43      1  51        0         1
#> 91.1   5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 192   16.44      1  31        1         0
#> 145.2 10.07      1  65        1         0
#> 37    12.52      1  57        1         0
#> 42.4  12.43      1  49        0         1
#> 181.1 16.46      1  45        0         1
#> 115   24.00      0  NA        1         0
#> 120   24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 103   24.00      0  56        1         0
#> 119.1 24.00      0  17        0         0
#> 48    24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 119.2 24.00      0  17        0         0
#> 120.1 24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 119.3 24.00      0  17        0         0
#> 109   24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 121   24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 185.1 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 94    24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 62    24.00      0  71        0         0
#> 198   24.00      0  66        0         1
#> 65    24.00      0  57        1         0
#> 95    24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 112   24.00      0  61        0         0
#> 2     24.00      0   9        0         0
#> 48.1  24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 102   24.00      0  49        0         0
#> 198.1 24.00      0  66        0         1
#> 176   24.00      0  43        0         1
#> 94.1  24.00      0  51        0         1
#> 165   24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 120.2 24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 118.1 24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 161.1 24.00      0  45        0         0
#> 12    24.00      0  63        0         0
#> 193.2 24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 132   24.00      0  55        0         0
#> 161.2 24.00      0  45        0         0
#> 74    24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 126   24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 182.1 24.00      0  35        0         0
#> 122   24.00      0  66        0         0
#> 2.1   24.00      0   9        0         0
#> 17    24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 95.1  24.00      0  68        0         1
#> 143.1 24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 116   24.00      0  58        0         1
#> 80    24.00      0  41        0         0
#> 22.1  24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 182.2 24.00      0  35        0         0
#> 67.1  24.00      0  25        0         0
#> 54.1  24.00      0  53        1         0
#> 72    24.00      0  40        0         1
#> 103.2 24.00      0  56        1         0
#> 116.1 24.00      0  58        0         1
#> 102.1 24.00      0  49        0         0
#> 27    24.00      0  63        1         0
#> 27.1  24.00      0  63        1         0
#> 121.1 24.00      0  57        1         0
#> 34    24.00      0  36        0         0
#> 104.1 24.00      0  50        1         0
#> 176.1 24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 1     24.00      0  23        1         0
#> 20.1  24.00      0  46        1         0
#> 109.1 24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.221          NA        NA      NA
#> 2 age, Cure model          0.00321        NA        NA      NA
#> 3 grade_ii, Cure model     0.0645         NA        NA      NA
#> 4 grade_iii, Cure model    0.654          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00724        NA        NA      NA
#> 2 grade_ii, Survival model   0.769          NA        NA      NA
#> 3 grade_iii, Survival model  0.252          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.221106          0.003208          0.064479          0.653528  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 256.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.22110584       0.00320813       0.06447885       0.65352754 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007240729      0.769143733      0.252110917 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.277098730 0.440896258 0.440896258 0.563861395 0.872018038 0.636436470
#>   [7] 0.257718452 0.553410049 0.770721276 0.821362203 0.201677323 0.247993487
#>  [13] 0.605131164 0.306531668 0.951785239 0.563861395 0.174269979 0.389602195
#>  [19] 0.770721276 0.720117267 0.098165626 0.831531287 0.089906342 0.316684616
#>  [25] 0.941934346 0.720117267 0.174269979 0.229115227 0.139276239 0.316684616
#>  [31] 0.511582680 0.440896258 0.440896258 0.378977605 0.831531287 0.022272741
#>  [37] 0.011944693 0.347458525 0.912200714 0.066046657 0.636436470 0.003201316
#>  [43] 0.229115227 0.122474182 0.257718452 0.699363159 0.667617228 0.277098730
#>  [49] 0.961561601 0.532533480 0.156805160 0.066046657 0.357935099 0.831531287
#>  [55] 0.688817544 0.615550365 0.277098730 0.882241709 0.791089979 0.098165626
#>  [61] 0.501093803 0.636436470 0.961561601 0.882241709 0.420359261 0.720117267
#>  [67] 0.811220519 0.201677323 0.039461469 0.030832031 0.066046657 0.584330761
#>  [73] 0.980748276 0.192375188 0.201677323 0.594709588 0.912200714 0.057092536
#>  [79] 0.148108749 0.389602195 0.156805160 0.368391516 0.039461469 0.522092592
#>  [85] 0.625982120 0.532533480 0.791089979 0.932010885 0.720117267 0.098165626
#>  [91] 0.678205699 0.337043616 0.409998707 0.122474182 0.490681730 0.980748276
#>  [97] 0.861795389 0.440896258 0.882241709 0.709772694 0.720117267 0.420359261
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    88    85  85.1    29    61    81     8   167    49    10    55   179    96 
#> 18.37 16.44 16.44 15.45 10.12 14.06 18.43 15.55 12.19 10.53 19.34 18.63 14.54 
#>   108    70  29.1   105   106  49.1    42    68    52    32    51   149  42.1 
#> 18.29  7.38 15.45 19.75 16.67 12.19 12.43 20.62 10.42 20.90 18.23  8.37 12.43 
#> 105.1    76   150  51.1    26  85.2  85.3    45  52.1   129    86   110   187 
#> 19.75 19.22 20.33 18.23 15.77 16.44 16.44 17.42 10.42 23.41 23.81 17.56  9.92 
#>    36  81.1    24  76.1   128   8.1   154   155  88.1    25     6   166    99 
#> 21.19 14.06 23.89 19.22 20.35 18.43 12.63 13.08 18.37  6.32 15.64 19.98 21.19 
#>   117  52.2   140    57  88.2   145   107  68.1   100  81.2  25.1 145.1   181 
#> 17.46 10.42 12.68 14.46 18.37 10.07 11.18 20.62 16.07 14.06  6.32 10.07 16.46 
#>  42.2   159  55.1    66   194  99.1   157    91   170  55.2   180 187.1   153 
#> 12.43 10.55 19.34 22.13 22.40 21.19 15.10  5.33 19.54 19.34 14.82  9.92 21.33 
#>   158 106.1 166.1    30  66.1   125    13   6.1 107.1   183  42.3  68.2    14 
#> 20.14 16.67 19.98 17.43 22.13 15.65 14.34 15.64 11.18  9.24 12.43 20.62 12.89 
#>   184   130 128.1     5  91.1    93   192 145.2    37  42.4 181.1   120   119 
#> 17.77 16.47 20.35 16.43  5.33 10.33 16.44 10.07 12.52 12.43 16.46 24.00 24.00 
#>   193   103 119.1    48    54 119.2 120.1   143 119.3   109   118     3   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   185 193.1 185.1    64    94   182    62   198    65    95    67   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2  48.1 103.1   102 198.1   176  94.1   165   186    46   156 120.2   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22 118.1   161 161.1    12 193.2    38   162    19   132 161.2    74    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126   142   152 182.1   122   2.1    17   104  95.1 143.1    44   116    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1    11 182.2  67.1  54.1    72 103.2 116.1 102.1    27  27.1 121.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1 176.1    20     1  20.1 109.1   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[30]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004786146               0.533294651               0.116637707 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -5.468326e-02            9.461543e-05           -2.967394e-02 
#>   grade_iii, Cure model 
#>            6.916729e-01 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 127    3.53      1  62        0         1
#> 175   21.91      1  43        0         0
#> 93    10.33      1  52        0         1
#> 76    19.22      1  54        0         1
#> 125   15.65      1  67        1         0
#> 70     7.38      1  30        1         0
#> 171   16.57      1  41        0         1
#> 113   22.86      1  34        0         0
#> 36    21.19      1  48        0         1
#> 86    23.81      1  58        0         1
#> 150   20.33      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 25     6.32      1  34        1         0
#> 96    14.54      1  33        0         1
#> 40    18.00      1  28        1         0
#> 6     15.64      1  39        0         0
#> 110.1 17.56      1  65        0         1
#> 113.1 22.86      1  34        0         0
#> 68    20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 136   21.83      1  43        0         1
#> 169   22.41      1  46        0         0
#> 113.2 22.86      1  34        0         0
#> 32    20.90      1  37        1         0
#> 129   23.41      1  53        1         0
#> 127.1  3.53      1  62        0         1
#> 195   11.76      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 164   23.60      1  76        0         1
#> 192   16.44      1  31        1         0
#> 13    14.34      1  54        0         1
#> 40.1  18.00      1  28        1         0
#> 140   12.68      1  59        1         0
#> 92    22.92      1  47        0         1
#> 125.1 15.65      1  67        1         0
#> 78    23.88      1  43        0         0
#> 56    12.21      1  60        0         0
#> 16     8.71      1  71        0         1
#> 89    11.44      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 30    17.43      1  78        0         0
#> 199   19.81      1  NA        0         1
#> 81.1  14.06      1  34        0         0
#> 106   16.67      1  49        1         0
#> 86.1  23.81      1  58        0         1
#> 169.1 22.41      1  46        0         0
#> 55    19.34      1  69        0         1
#> 43    12.10      1  61        0         1
#> 88    18.37      1  47        0         0
#> 189   10.51      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 50    10.02      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 86.2  23.81      1  58        0         1
#> 154   12.63      1  20        1         0
#> 101    9.97      1  10        0         1
#> 30.1  17.43      1  78        0         0
#> 134   17.81      1  47        1         0
#> 164.1 23.60      1  76        0         1
#> 45.1  17.42      1  54        0         1
#> 10.1  10.53      1  34        0         0
#> 50.1  10.02      1  NA        1         0
#> 125.2 15.65      1  67        1         0
#> 56.1  12.21      1  60        0         0
#> 124    9.73      1  NA        1         0
#> 56.2  12.21      1  60        0         0
#> 23    16.92      1  61        0         0
#> 85    16.44      1  36        0         0
#> 100   16.07      1  60        0         0
#> 23.1  16.92      1  61        0         0
#> 168   23.72      1  70        0         0
#> 77     7.27      1  67        0         1
#> 66    22.13      1  53        0         0
#> 133   14.65      1  57        0         0
#> 91     5.33      1  61        0         1
#> 110.2 17.56      1  65        0         1
#> 14    12.89      1  21        0         0
#> 181   16.46      1  45        0         1
#> 85.1  16.44      1  36        0         0
#> 86.3  23.81      1  58        0         1
#> 189.1 10.51      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 23.2  16.92      1  61        0         0
#> 18.1  15.21      1  49        1         0
#> 81.2  14.06      1  34        0         0
#> 175.1 21.91      1  43        0         0
#> 134.1 17.81      1  47        1         0
#> 181.1 16.46      1  45        0         1
#> 99    21.19      1  38        0         1
#> 149    8.37      1  33        1         0
#> 107   11.18      1  54        1         0
#> 4.1   17.64      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 59    10.16      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 150.1 20.33      1  48        0         0
#> 170   19.54      1  43        0         1
#> 16.1   8.71      1  71        0         1
#> 45.2  17.42      1  54        0         1
#> 25.1   6.32      1  34        1         0
#> 56.3  12.21      1  60        0         0
#> 24    23.89      1  38        0         0
#> 180   14.82      1  37        0         0
#> 49    12.19      1  48        1         0
#> 91.1   5.33      1  61        0         1
#> 150.2 20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 32.1  20.90      1  37        1         0
#> 164.2 23.60      1  76        0         1
#> 39    15.59      1  37        0         1
#> 175.2 21.91      1  43        0         0
#> 132   24.00      0  55        0         0
#> 143   24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 186   24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 165   24.00      0  47        0         0
#> 147   24.00      0  76        1         0
#> 84    24.00      0  39        0         1
#> 67    24.00      0  25        0         0
#> 65    24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 147.1 24.00      0  76        1         0
#> 28    24.00      0  67        1         0
#> 62    24.00      0  71        0         0
#> 53    24.00      0  32        0         1
#> 176   24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 163   24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 9     24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 126   24.00      0  48        0         0
#> 193   24.00      0  45        0         1
#> 109   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 74    24.00      0  43        0         1
#> 143.1 24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 62.1  24.00      0  71        0         0
#> 33    24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 126.1 24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 122   24.00      0  66        0         0
#> 126.2 24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 20    24.00      0  46        1         0
#> 22    24.00      0  52        1         0
#> 178   24.00      0  52        1         0
#> 44    24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 54    24.00      0  53        1         0
#> 131.1 24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 131.2 24.00      0  66        0         0
#> 44.1  24.00      0  56        0         0
#> 64.1  24.00      0  43        0         0
#> 21    24.00      0  47        0         0
#> 72.1  24.00      0  40        0         1
#> 7     24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 64.2  24.00      0  43        0         0
#> 200   24.00      0  64        0         0
#> 21.1  24.00      0  47        0         0
#> 163.1 24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 138.1 24.00      0  44        1         0
#> 143.2 24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 122.1 24.00      0  66        0         0
#> 74.2  24.00      0  43        0         1
#> 185.1 24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 120.1 24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 9.1   24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 122.2 24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 72.2  24.00      0  40        0         1
#> 126.3 24.00      0  48        0         0
#> 193.1 24.00      0  45        0         1
#> 31    24.00      0  36        0         1
#> 74.3  24.00      0  43        0         1
#> 74.4  24.00      0  43        0         1
#> 33.1  24.00      0  53        0         0
#> 116   24.00      0  58        0         1
#> 141.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0547           NA        NA      NA
#> 2 age, Cure model          0.0000946        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0297           NA        NA      NA
#> 4 grade_iii, Cure model    0.692            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00479        NA        NA      NA
#> 2 grade_ii, Survival model   0.533          NA        NA      NA
#> 3 grade_iii, Survival model  0.117          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -5.468e-02         9.462e-05        -2.967e-02         6.917e-01  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 254.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -5.468326e-02     9.461543e-05    -2.967394e-02     6.916729e-01 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004786146      0.533294651      0.116637707 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.979660644 0.170867491 0.856947471 0.319494273 0.592495763 0.918700093
#>   [7] 0.500144126 0.104918345 0.210006509 0.022546473 0.259357502 0.379743883
#>  [13] 0.939189327 0.683628968 0.340269294 0.622642620 0.379743883 0.104918345
#>  [19] 0.249415452 0.867244999 0.199808053 0.141991736 0.104918345 0.230071184
#>  [25] 0.085660574 0.979660644 0.836506400 0.059177828 0.531064573 0.693836083
#>  [31] 0.340269294 0.744798971 0.095239122 0.592495763 0.012288597 0.765245826
#>  [37] 0.887844701 0.704063092 0.409072548 0.704063092 0.489809634 0.022546473
#>  [43] 0.141991736 0.309183927 0.815974248 0.329848825 0.643140890 0.429169500
#>  [49] 0.022546473 0.755060390 0.877549153 0.409072548 0.360201690 0.059177828
#>  [55] 0.429169500 0.836506400 0.592495763 0.765245826 0.765245826 0.459235885
#>  [61] 0.531064573 0.571813767 0.459235885 0.049758752 0.928934283 0.160954172
#>  [67] 0.673428019 0.959390661 0.379743883 0.734497077 0.510494989 0.531064573
#>  [73] 0.022546473 0.561529368 0.459235885 0.643140890 0.704063092 0.170867491
#>  [79] 0.360201690 0.510494989 0.210006509 0.908411284 0.826260497 0.132434026
#>  [85] 0.288724592 0.259357502 0.298939313 0.887844701 0.429169500 0.939189327
#>  [91] 0.765245826 0.003703244 0.663263834 0.805708811 0.959390661 0.259357502
#>  [97] 0.582144549 0.230071184 0.059177828 0.632886885 0.170867491 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>   127   175    93    76   125    70   171   113    36    86   150   110    25 
#>  3.53 21.91 10.33 19.22 15.65  7.38 16.57 22.86 21.19 23.81 20.33 17.56  6.32 
#>    96    40     6 110.1 113.1    68    61   136   169 113.2    32   129 127.1 
#> 14.54 18.00 15.64 17.56 22.86 20.62 10.12 21.83 22.41 22.86 20.90 23.41  3.53 
#>    10   164   192    13  40.1   140    92 125.1    78    56    16    81    30 
#> 10.53 23.60 16.44 14.34 18.00 12.68 22.92 15.65 23.88 12.21  8.71 14.06 17.43 
#>  81.1   106  86.1 169.1    55    43    88    18    45  86.2   154   101  30.1 
#> 14.06 16.67 23.81 22.41 19.34 12.10 18.37 15.21 17.42 23.81 12.63  9.97 17.43 
#>   134 164.1  45.1  10.1 125.2  56.1  56.2    23    85   100  23.1   168    77 
#> 17.81 23.60 17.42 10.53 15.65 12.21 12.21 16.92 16.44 16.07 16.92 23.72  7.27 
#>    66   133    91 110.2    14   181  85.1  86.3    79  23.2  18.1  81.2 175.1 
#> 22.13 14.65  5.33 17.56 12.89 16.46 16.44 23.81 16.23 16.92 15.21 14.06 21.91 
#> 134.1 181.1    99   149   107    63   166 150.1   170  16.1  45.2  25.1  56.3 
#> 17.81 16.46 21.19  8.37 11.18 22.77 19.98 20.33 19.54  8.71 17.42  6.32 12.21 
#>    24   180    49  91.1 150.2    26  32.1 164.2    39 175.2   132   143   119 
#> 23.89 14.82 12.19  5.33 20.33 15.77 20.90 23.60 15.59 21.91 24.00 24.00 24.00 
#>   186     2   165   147    84    67    65   131 147.1    28    62    53   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   163    64     9    35   161   126   193   109    72    74 143.1   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34  62.1    33   104 126.1     3 161.1   122 126.2    19    20    22   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    75    54 131.1    80   185    48  74.1 131.2  44.1  64.1    21  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   142  64.2   200  21.1 163.1   137   144 138.1 143.2    71 122.1  74.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1   120 120.1   141 186.1   9.1    12 122.2    94   148  72.2 126.3 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31  74.3  74.4  33.1   116 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[31]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007571903               0.467806549               0.769390286 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.57217902              0.00950509             -0.27348840 
#>   grade_iii, Cure model 
#>              1.28246685 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 88    18.37      1  47        0         0
#> 168   23.72      1  70        0         0
#> 81    14.06      1  34        0         0
#> 100   16.07      1  60        0         0
#> 57    14.46      1  45        0         1
#> 184   17.77      1  38        0         0
#> 188   16.16      1  46        0         1
#> 36    21.19      1  48        0         1
#> 57.1  14.46      1  45        0         1
#> 37    12.52      1  57        1         0
#> 16     8.71      1  71        0         1
#> 50    10.02      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 168.1 23.72      1  70        0         0
#> 76    19.22      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 4     17.64      1  NA        0         1
#> 36.1  21.19      1  48        0         1
#> 50.1  10.02      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 91     5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 188.1 16.16      1  46        0         1
#> 13    14.34      1  54        0         1
#> 66.1  22.13      1  53        0         0
#> 57.2  14.46      1  45        0         1
#> 18    15.21      1  49        1         0
#> 61    10.12      1  36        0         1
#> 63    22.77      1  31        1         0
#> 195   11.76      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 36.2  21.19      1  48        0         1
#> 150   20.33      1  48        0         0
#> 4.1   17.64      1  NA        0         1
#> 169   22.41      1  46        0         0
#> 177   12.53      1  75        0         0
#> 195.1 11.76      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 5     16.43      1  51        0         1
#> 78    23.88      1  43        0         0
#> 63.1  22.77      1  31        1         0
#> 4.2   17.64      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 29    15.45      1  68        1         0
#> 169.1 22.41      1  46        0         0
#> 76.1  19.22      1  54        0         1
#> 179   18.63      1  42        0         0
#> 180   14.82      1  37        0         0
#> 100.1 16.07      1  60        0         0
#> 91.1   5.33      1  61        0         1
#> 123   13.00      1  44        1         0
#> 13.1  14.34      1  54        0         1
#> 37.1  12.52      1  57        1         0
#> 26    15.77      1  49        0         1
#> 190   20.81      1  42        1         0
#> 59    10.16      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 68    20.62      1  44        0         0
#> 139   21.49      1  63        1         0
#> 14    12.89      1  21        0         0
#> 8.1   18.43      1  32        0         0
#> 29.1  15.45      1  68        1         0
#> 4.3   17.64      1  NA        0         1
#> 170   19.54      1  43        0         1
#> 41    18.02      1  40        1         0
#> 52    10.42      1  52        0         1
#> 111   17.45      1  47        0         1
#> 6     15.64      1  39        0         0
#> 181   16.46      1  45        0         1
#> 192   16.44      1  31        1         0
#> 188.2 16.16      1  46        0         1
#> 157   15.10      1  47        0         0
#> 179.1 18.63      1  42        0         0
#> 111.1 17.45      1  47        0         1
#> 40    18.00      1  28        1         0
#> 56    12.21      1  60        0         0
#> 42    12.43      1  49        0         1
#> 63.2  22.77      1  31        1         0
#> 76.2  19.22      1  54        0         1
#> 123.1 13.00      1  44        1         0
#> 149    8.37      1  33        1         0
#> 32    20.90      1  37        1         0
#> 25     6.32      1  34        1         0
#> 179.2 18.63      1  42        0         0
#> 108   18.29      1  39        0         1
#> 5.1   16.43      1  51        0         1
#> 5.2   16.43      1  51        0         1
#> 13.2  14.34      1  54        0         1
#> 180.1 14.82      1  37        0         0
#> 166   19.98      1  48        0         0
#> 195.2 11.76      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 37.2  12.52      1  57        1         0
#> 13.3  14.34      1  54        0         1
#> 99    21.19      1  38        0         1
#> 111.2 17.45      1  47        0         1
#> 5.3   16.43      1  51        0         1
#> 63.3  22.77      1  31        1         0
#> 57.3  14.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 55    19.34      1  69        0         1
#> 128.1 20.35      1  35        0         1
#> 125   15.65      1  67        1         0
#> 18.1  15.21      1  49        1         0
#> 168.2 23.72      1  70        0         0
#> 183.1  9.24      1  67        1         0
#> 15    22.68      1  48        0         0
#> 91.2   5.33      1  61        0         1
#> 52.1  10.42      1  52        0         1
#> 85    16.44      1  36        0         0
#> 129   23.41      1  53        1         0
#> 62    24.00      0  71        0         0
#> 9     24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 121   24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 186   24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 146   24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 141   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 148   24.00      0  61        1         0
#> 173   24.00      0  19        0         1
#> 193   24.00      0  45        0         1
#> 33    24.00      0  53        0         0
#> 9.1   24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 196.1 24.00      0  19        0         0
#> 62.1  24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 104   24.00      0  50        1         0
#> 121.1 24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 137   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 44    24.00      0  56        0         0
#> 151.1 24.00      0  42        0         0
#> 156   24.00      0  50        1         0
#> 119   24.00      0  17        0         0
#> 138.1 24.00      0  44        1         0
#> 19.1  24.00      0  57        0         1
#> 119.1 24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 17    24.00      0  38        0         1
#> 137.1 24.00      0  45        1         0
#> 17.1  24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 138.2 24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 44.1  24.00      0  56        0         0
#> 172   24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 98    24.00      0  34        1         0
#> 22    24.00      0  52        1         0
#> 20.1  24.00      0  46        1         0
#> 143   24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 119.2 24.00      0  17        0         0
#> 73    24.00      0  NA        0         1
#> 115.1 24.00      0  NA        1         0
#> 17.2  24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 87    24.00      0  27        0         0
#> 38    24.00      0  31        1         0
#> 186.1 24.00      0  45        1         0
#> 7.1   24.00      0  37        1         0
#> 116   24.00      0  58        0         1
#> 35    24.00      0  51        0         0
#> 156.1 24.00      0  50        1         0
#> 146.1 24.00      0  63        1         0
#> 132   24.00      0  55        0         0
#> 151.2 24.00      0  42        0         0
#> 135   24.00      0  58        1         0
#> 46.1  24.00      0  71        0         0
#> 94    24.00      0  51        0         1
#> 146.2 24.00      0  63        1         0
#> 9.2   24.00      0  31        1         0
#> 20.2  24.00      0  46        1         0
#> 198   24.00      0  66        0         1
#> 135.1 24.00      0  58        1         0
#> 67    24.00      0  25        0         0
#> 163   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 122.1 24.00      0  66        0         0
#> 196.2 24.00      0  19        0         0
#> 44.2  24.00      0  56        0         0
#> 156.2 24.00      0  50        1         0
#> 84.1  24.00      0  39        0         1
#> 161   24.00      0  45        0         0
#> 65    24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 173.1 24.00      0  19        0         1
#> 104.1 24.00      0  50        1         0
#> 163.1 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.572          NA        NA      NA
#> 2 age, Cure model          0.00951        NA        NA      NA
#> 3 grade_ii, Cure model    -0.273          NA        NA      NA
#> 4 grade_iii, Cure model    1.28           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00757        NA        NA      NA
#> 2 grade_ii, Survival model   0.468          NA        NA      NA
#> 3 grade_iii, Survival model  0.769          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.572179          0.009505         -0.273488          1.282467  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.2 
#> Residual Deviance: 236.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.57217902       0.00950509      -0.27348840       1.28246685 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007571903      0.467806549      0.769390286 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.65513675 0.14820560 0.90676615 0.80285578 0.86790573 0.69414537
#>   [7] 0.78582495 0.45124765 0.86790573 0.93031483 0.97494106 0.70164563
#>  [13] 0.14820560 0.58939663 0.45124765 0.38722244 0.98771809 0.67130052
#>  [19] 0.78582495 0.88781375 0.38722244 0.86790573 0.84153678 0.96190588
#>  [25] 0.26354292 0.70894833 0.45124765 0.55014724 0.35238369 0.92562945
#>  [31] 0.63880135 0.76214756 0.07198808 0.26354292 0.52988014 0.83078487
#>  [37] 0.35238369 0.58939663 0.61428485 0.85740085 0.80285578 0.98771809
#>  [43] 0.91153447 0.88781375 0.93031483 0.81415795 0.50778136 0.96630077
#>  [49] 0.51887726 0.43633806 0.92092586 0.63880135 0.83078487 0.57035929
#>  [55] 0.67900941 0.95306221 0.71613057 0.82527176 0.74283905 0.74934317
#>  [61] 0.78582495 0.85211120 0.61428485 0.71613057 0.68661799 0.94853749
#>  [67] 0.94400032 0.26354292 0.58939663 0.91153447 0.97921961 0.49638817
#>  [73] 0.98347863 0.61428485 0.66331216 0.76214756 0.76214756 0.88781375
#>  [79] 0.85740085 0.56029321 0.42058206 0.93031483 0.88781375 0.45124765
#>  [85] 0.71613057 0.76214756 0.26354292 0.86790573 0.73621695 0.58008400
#>  [91] 0.52988014 0.81974596 0.84153678 0.14820560 0.96630077 0.33372414
#>  [97] 0.98771809 0.95306221 0.74934317 0.23543473 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    88   168    81   100    57   184   188    36  57.1    37    16   110 168.1 
#> 18.37 23.72 14.06 16.07 14.46 17.77 16.16 21.19 14.46 12.52  8.71 17.56 23.72 
#>    76  36.1    66    91    51 188.1    13  66.1  57.2    18    61    63   117 
#> 19.22 21.19 22.13  5.33 18.23 16.16 14.34 22.13 14.46 15.21 10.12 22.77 17.46 
#>  36.2   150   169   177     8     5    78  63.1   128    29 169.1  76.1   179 
#> 21.19 20.33 22.41 12.53 18.43 16.43 23.88 22.77 20.35 15.45 22.41 19.22 18.63 
#>   180 100.1  91.1   123  13.1  37.1    26   190   183    68   139    14   8.1 
#> 14.82 16.07  5.33 13.00 14.34 12.52 15.77 20.81  9.24 20.62 21.49 12.89 18.43 
#>  29.1   170    41    52   111     6   181   192 188.2   157 179.1 111.1    40 
#> 15.45 19.54 18.02 10.42 17.45 15.64 16.46 16.44 16.16 15.10 18.63 17.45 18.00 
#>    56    42  63.2  76.2 123.1   149    32    25 179.2   108   5.1   5.2  13.2 
#> 12.21 12.43 22.77 19.22 13.00  8.37 20.90  6.32 18.63 18.29 16.43 16.43 14.34 
#> 180.1   166   136  37.2  13.3    99 111.2   5.3  63.3  57.3   130    55 128.1 
#> 14.82 19.98 21.83 12.52 14.34 21.19 17.45 16.43 22.77 14.46 16.47 19.34 20.35 
#>   125  18.1 168.2 183.1    15  91.2  52.1    85   129    62     9    11   121 
#> 15.65 15.21 23.72  9.24 22.68  5.33 10.42 16.44 23.41 24.00 24.00 24.00 24.00 
#>   196   186   151   146    19   141   200   148   173   193    33   9.1   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   122     7 196.1  62.1    54   104 121.1    83   137   162    20    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1   156   119 138.1  19.1 119.1    17 137.1  17.1   142 138.2    46  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172   103    98    22  20.1   143 162.1 119.2  17.2    28    87    38 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1   116    35 156.1 146.1   132 151.2   135  46.1    94 146.2   9.2  20.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198 135.1    67   163    84 122.1 196.2  44.2 156.2  84.1   161    65   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1 104.1 163.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[32]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005216946               0.833838570               0.266354086 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.86531293              0.01646146              0.19151731 
#>   grade_iii, Cure model 
#>              0.70687790 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 106   16.67      1  49        1         0
#> 42    12.43      1  49        0         1
#> 100   16.07      1  60        0         0
#> 49    12.19      1  48        1         0
#> 24    23.89      1  38        0         0
#> 170   19.54      1  43        0         1
#> 32    20.90      1  37        1         0
#> 86    23.81      1  58        0         1
#> 117   17.46      1  26        0         1
#> 55    19.34      1  69        0         1
#> 15    22.68      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 199.1 19.81      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 96    14.54      1  33        0         1
#> 155   13.08      1  26        0         0
#> 24.1  23.89      1  38        0         0
#> 56    12.21      1  60        0         0
#> 86.1  23.81      1  58        0         1
#> 85    16.44      1  36        0         0
#> 154   12.63      1  20        1         0
#> 170.1 19.54      1  43        0         1
#> 124    9.73      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 50    10.02      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 195   11.76      1  NA        1         0
#> 105.1 19.75      1  60        0         0
#> 10    10.53      1  34        0         0
#> 24.2  23.89      1  38        0         0
#> 89    11.44      1  NA        0         0
#> 168   23.72      1  70        0         0
#> 181   16.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 108   18.29      1  39        0         1
#> 15.1  22.68      1  48        0         0
#> 181.1 16.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 30    17.43      1  78        0         0
#> 85.1  16.44      1  36        0         0
#> 123   13.00      1  44        1         0
#> 40.1  18.00      1  28        1         0
#> 187    9.92      1  39        1         0
#> 91     5.33      1  61        0         1
#> 70     7.38      1  30        1         0
#> 14    12.89      1  21        0         0
#> 177   12.53      1  75        0         0
#> 60    13.15      1  38        1         0
#> 76    19.22      1  54        0         1
#> 197   21.60      1  69        1         0
#> 79    16.23      1  54        1         0
#> 59    10.16      1  NA        1         0
#> 168.1 23.72      1  70        0         0
#> 139   21.49      1  63        1         0
#> 92    22.92      1  47        0         1
#> 69    23.23      1  25        0         1
#> 110   17.56      1  65        0         1
#> 78    23.88      1  43        0         0
#> 111   17.45      1  47        0         1
#> 88    18.37      1  47        0         0
#> 16     8.71      1  71        0         1
#> 128   20.35      1  35        0         1
#> 184   17.77      1  38        0         0
#> 105.2 19.75      1  60        0         0
#> 157   15.10      1  47        0         0
#> 101    9.97      1  10        0         1
#> 171   16.57      1  41        0         1
#> 43    12.10      1  61        0         1
#> 16.1   8.71      1  71        0         1
#> 164   23.60      1  76        0         1
#> 127    3.53      1  62        0         1
#> 179   18.63      1  42        0         0
#> 51    18.23      1  83        0         1
#> 157.1 15.10      1  47        0         0
#> 108.1 18.29      1  39        0         1
#> 23    16.92      1  61        0         0
#> 166   19.98      1  48        0         0
#> 123.1 13.00      1  44        1         0
#> 93    10.33      1  52        0         1
#> 93.1  10.33      1  52        0         1
#> 158   20.14      1  74        1         0
#> 194   22.40      1  38        0         1
#> 175.1 21.91      1  43        0         0
#> 51.1  18.23      1  83        0         1
#> 13    14.34      1  54        0         1
#> 85.2  16.44      1  36        0         0
#> 158.1 20.14      1  74        1         0
#> 106.1 16.67      1  49        1         0
#> 56.1  12.21      1  60        0         0
#> 107   11.18      1  54        1         0
#> 29    15.45      1  68        1         0
#> 177.1 12.53      1  75        0         0
#> 158.2 20.14      1  74        1         0
#> 150   20.33      1  48        0         0
#> 70.1   7.38      1  30        1         0
#> 86.2  23.81      1  58        0         1
#> 189.1 10.51      1  NA        1         0
#> 42.1  12.43      1  49        0         1
#> 59.1  10.16      1  NA        1         0
#> 177.2 12.53      1  75        0         0
#> 175.2 21.91      1  43        0         0
#> 86.3  23.81      1  58        0         1
#> 188   16.16      1  46        0         1
#> 25     6.32      1  34        1         0
#> 175.3 21.91      1  43        0         0
#> 69.1  23.23      1  25        0         1
#> 92.1  22.92      1  47        0         1
#> 25.1   6.32      1  34        1         0
#> 130   16.47      1  53        0         1
#> 50.1  10.02      1  NA        1         0
#> 65    24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 185   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 20    24.00      0  46        1         0
#> 46    24.00      0  71        0         0
#> 131   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 178   24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 3     24.00      0  31        1         0
#> 80.1  24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 109   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 135   24.00      0  58        1         0
#> 196   24.00      0  19        0         0
#> 80.2  24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 116   24.00      0  58        0         1
#> 178.1 24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 131.1 24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 131.2 24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 94    24.00      0  51        0         1
#> 82    24.00      0  34        0         0
#> 17    24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 80.3  24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 173   24.00      0  19        0         1
#> 160   24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 196.1 24.00      0  19        0         0
#> 152   24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 126   24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 141   24.00      0  44        1         0
#> 34.1  24.00      0  36        0         0
#> 118.1 24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 53    24.00      0  32        0         1
#> 73    24.00      0  NA        0         1
#> 148   24.00      0  61        1         0
#> 121   24.00      0  57        1         0
#> 116.1 24.00      0  58        0         1
#> 176   24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 152.1 24.00      0  36        0         1
#> 146   24.00      0  63        1         0
#> 176.1 24.00      0  43        0         1
#> 143   24.00      0  51        0         0
#> 71.1  24.00      0  51        0         0
#> 115.1 24.00      0  NA        1         0
#> 2.1   24.00      0   9        0         0
#> 119   24.00      0  17        0         0
#> 198   24.00      0  66        0         1
#> 21    24.00      0  47        0         0
#> 95.1  24.00      0  68        0         1
#> 71.2  24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 67.2  24.00      0  25        0         0
#> 121.1 24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 131.3 24.00      0  66        0         0
#> 47.1  24.00      0  38        0         1
#> 17.1  24.00      0  38        0         1
#> 2.2   24.00      0   9        0         0
#> 116.2 24.00      0  58        0         1
#> 160.1 24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 126.1 24.00      0  48        0         0
#> 20.1  24.00      0  46        1         0
#> 73.1  24.00      0  NA        0         1
#> 28    24.00      0  67        1         0
#> 19.1  24.00      0  57        0         1
#> 161.2 24.00      0  45        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.865         NA        NA      NA
#> 2 age, Cure model           0.0165        NA        NA      NA
#> 3 grade_ii, Cure model      0.192         NA        NA      NA
#> 4 grade_iii, Cure model     0.707         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00522        NA        NA      NA
#> 2 grade_ii, Survival model   0.834          NA        NA      NA
#> 3 grade_iii, Survival model  0.266          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.86531           0.01646           0.19152           0.70688  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.9 
#> Residual Deviance: 247.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.86531293       0.01646146       0.19151731       0.70687790 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005216946      0.833838570      0.266354086 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.55993929 0.81730410 0.66596370 0.85455251 0.01010366 0.35761118
#>   [7] 0.25665964 0.04647650 0.52027521 0.37785520 0.15755794 0.48096941
#>  [13] 0.71408873 0.74289094 0.01010366 0.83587254 0.04647650 0.61781970
#>  [19] 0.78036609 0.35761118 0.67565072 0.32760766 0.47069472 0.32760766
#>  [25] 0.88242162 0.01010366 0.08152929 0.59859421 0.37785520 0.42941333
#>  [31] 0.15755794 0.59859421 0.19093136 0.54002393 0.61781970 0.75243371
#>  [37] 0.48096941 0.91933974 0.98229020 0.94675123 0.77100970 0.78960353
#>  [43] 0.73336368 0.39824885 0.23430228 0.64666132 0.08152929 0.24564803
#>  [49] 0.13618200 0.11474124 0.51037264 0.03419766 0.53015153 0.41897040
#>  [55] 0.92849519 0.26726285 0.50048355 0.32760766 0.69492041 0.91010350
#>  [61] 0.57919333 0.86386305 0.92849519 0.10314212 0.99114290 0.40858377
#>  [67] 0.44998129 0.69492041 0.42941333 0.54995703 0.31754103 0.75243371
#>  [73] 0.89168033 0.89168033 0.28848597 0.17960003 0.19093136 0.44998129
#>  [79] 0.72372523 0.61781970 0.28848597 0.55993929 0.83587254 0.87317867
#>  [85] 0.68532718 0.78960353 0.28848597 0.27782950 0.94675123 0.04647650
#>  [91] 0.81730410 0.78960353 0.19093136 0.04647650 0.65631440 0.96467257
#>  [97] 0.19093136 0.11474124 0.13618200 0.96467257 0.58889296 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   106    42   100    49    24   170    32    86   117    55    15    40    96 
#> 16.67 12.43 16.07 12.19 23.89 19.54 20.90 23.81 17.46 19.34 22.68 18.00 14.54 
#>   155  24.1    56  86.1    85   154 170.1    39   105    41 105.1    10  24.2 
#> 13.08 23.89 12.21 23.81 16.44 12.63 19.54 15.59 19.75 18.02 19.75 10.53 23.89 
#>   168   181    58   108  15.1 181.1   175    30  85.1   123  40.1   187    91 
#> 23.72 16.46 19.34 18.29 22.68 16.46 21.91 17.43 16.44 13.00 18.00  9.92  5.33 
#>    70    14   177    60    76   197    79 168.1   139    92    69   110    78 
#>  7.38 12.89 12.53 13.15 19.22 21.60 16.23 23.72 21.49 22.92 23.23 17.56 23.88 
#>   111    88    16   128   184 105.2   157   101   171    43  16.1   164   127 
#> 17.45 18.37  8.71 20.35 17.77 19.75 15.10  9.97 16.57 12.10  8.71 23.60  3.53 
#>   179    51 157.1 108.1    23   166 123.1    93  93.1   158   194 175.1  51.1 
#> 18.63 18.23 15.10 18.29 16.92 19.98 13.00 10.33 10.33 20.14 22.40 21.91 18.23 
#>    13  85.2 158.1 106.1  56.1   107    29 177.1 158.2   150  70.1  86.2  42.1 
#> 14.34 16.44 20.14 16.67 12.21 11.18 15.45 12.53 20.14 20.33  7.38 23.81 12.43 
#> 177.2 175.2  86.3   188    25 175.3  69.1  92.1  25.1   130    65   112   185 
#> 12.53 21.91 23.81 16.16  6.32 21.91 23.23 22.92  6.32 16.47 24.00 24.00 24.00 
#>    80   191    20    46   131    47   178    67     3  80.1    71    19   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    33    75   135   196  80.2   151   116 178.1    84 131.1 131.2    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    82    17   165   118  75.1    34  80.3   122   161   173   160 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1   152   182   126   156   141  34.1 118.1     2    53   148   121 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   200 152.1   146 176.1   143  71.1   2.1   119   198    21  95.1  71.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1  67.2 121.1    48 131.3  47.1  17.1   2.2 116.2 160.1 165.1 126.1  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  19.1 161.2 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[33]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              5.519055e-06              4.522669e-01             -2.113761e-01 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.32108486              0.01117703             -0.75677154 
#>   grade_iii, Cure model 
#>              0.67672595 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 171   16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 32    20.90      1  37        1         0
#> 123   13.00      1  44        1         0
#> 110   17.56      1  65        0         1
#> 136   21.83      1  43        0         1
#> 197   21.60      1  69        1         0
#> 157   15.10      1  47        0         0
#> 57    14.46      1  45        0         1
#> 86    23.81      1  58        0         1
#> 52    10.42      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 145   10.07      1  65        1         0
#> 140   12.68      1  59        1         0
#> 36    21.19      1  48        0         1
#> 23    16.92      1  61        0         0
#> 130   16.47      1  53        0         1
#> 93    10.33      1  52        0         1
#> 128   20.35      1  35        0         1
#> 25     6.32      1  34        1         0
#> 189   10.51      1  NA        1         0
#> 111.1 17.45      1  47        0         1
#> 49    12.19      1  48        1         0
#> 55    19.34      1  69        0         1
#> 8     18.43      1  32        0         0
#> 134   17.81      1  47        1         0
#> 55.1  19.34      1  69        0         1
#> 97    19.14      1  65        0         1
#> 117   17.46      1  26        0         1
#> 117.1 17.46      1  26        0         1
#> 133   14.65      1  57        0         0
#> 10    10.53      1  34        0         0
#> 164   23.60      1  76        0         1
#> 117.2 17.46      1  26        0         1
#> 194   22.40      1  38        0         1
#> 42    12.43      1  49        0         1
#> 85    16.44      1  36        0         0
#> 105   19.75      1  60        0         0
#> 77     7.27      1  67        0         1
#> 16     8.71      1  71        0         1
#> 100   16.07      1  60        0         0
#> 23.1  16.92      1  61        0         0
#> 97.1  19.14      1  65        0         1
#> 8.1   18.43      1  32        0         0
#> 60    13.15      1  38        1         0
#> 170   19.54      1  43        0         1
#> 13    14.34      1  54        0         1
#> 49.1  12.19      1  48        1         0
#> 16.1   8.71      1  71        0         1
#> 127    3.53      1  62        0         1
#> 93.1  10.33      1  52        0         1
#> 164.1 23.60      1  76        0         1
#> 133.1 14.65      1  57        0         0
#> 166   19.98      1  48        0         0
#> 86.1  23.81      1  58        0         1
#> 23.2  16.92      1  61        0         0
#> 91     5.33      1  61        0         1
#> 32.1  20.90      1  37        1         0
#> 108   18.29      1  39        0         1
#> 59    10.16      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 16.2   8.71      1  71        0         1
#> 184   17.77      1  38        0         0
#> 133.2 14.65      1  57        0         0
#> 23.3  16.92      1  61        0         0
#> 155   13.08      1  26        0         0
#> 50    10.02      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 4     17.64      1  NA        0         1
#> 25.1   6.32      1  34        1         0
#> 49.2  12.19      1  48        1         0
#> 61    10.12      1  36        0         1
#> 128.1 20.35      1  35        0         1
#> 99    21.19      1  38        0         1
#> 49.3  12.19      1  48        1         0
#> 60.1  13.15      1  38        1         0
#> 136.1 21.83      1  43        0         1
#> 158   20.14      1  74        1         0
#> 42.1  12.43      1  49        0         1
#> 157.1 15.10      1  47        0         0
#> 49.4  12.19      1  48        1         0
#> 36.1  21.19      1  48        0         1
#> 155.1 13.08      1  26        0         0
#> 23.4  16.92      1  61        0         0
#> 77.1   7.27      1  67        0         1
#> 30    17.43      1  78        0         0
#> 56    12.21      1  60        0         0
#> 125   15.65      1  67        1         0
#> 99.1  21.19      1  38        0         1
#> 187    9.92      1  39        1         0
#> 29    15.45      1  68        1         0
#> 24    23.89      1  38        0         0
#> 187.1  9.92      1  39        1         0
#> 59.1  10.16      1  NA        1         0
#> 128.2 20.35      1  35        0         1
#> 79    16.23      1  54        1         0
#> 159   10.55      1  50        0         1
#> 190   20.81      1  42        1         0
#> 183    9.24      1  67        1         0
#> 168   23.72      1  70        0         0
#> 194.1 22.40      1  38        0         1
#> 42.2  12.43      1  49        0         1
#> 127.1  3.53      1  62        0         1
#> 10.1  10.53      1  34        0         0
#> 179   18.63      1  42        0         0
#> 101    9.97      1  10        0         1
#> 70     7.38      1  30        1         0
#> 56.1  12.21      1  60        0         0
#> 159.1 10.55      1  50        0         1
#> 58    19.34      1  39        0         0
#> 23.5  16.92      1  61        0         0
#> 194.2 22.40      1  38        0         1
#> 94    24.00      0  51        0         1
#> 173   24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 131   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 22    24.00      0  52        1         0
#> 118   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 148   24.00      0  61        1         0
#> 156   24.00      0  50        1         0
#> 53    24.00      0  32        0         1
#> 196   24.00      0  19        0         0
#> 95    24.00      0  68        0         1
#> 142   24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 22.1  24.00      0  52        1         0
#> 131.1 24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 87    24.00      0  27        0         0
#> 22.2  24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 173.1 24.00      0  19        0         1
#> 104   24.00      0  50        1         0
#> 104.1 24.00      0  50        1         0
#> 98    24.00      0  34        1         0
#> 82    24.00      0  34        0         0
#> 71    24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 126   24.00      0  48        0         0
#> 98.1  24.00      0  34        1         0
#> 28    24.00      0  67        1         0
#> 163   24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 135.1 24.00      0  58        1         0
#> 62    24.00      0  71        0         0
#> 156.1 24.00      0  50        1         0
#> 28.1  24.00      0  67        1         0
#> 34    24.00      0  36        0         0
#> 27    24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 31.1  24.00      0  36        0         1
#> 19    24.00      0  57        0         1
#> 138   24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 65    24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 74    24.00      0  43        0         1
#> 27.1  24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 141   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 115   24.00      0  NA        1         0
#> 118.1 24.00      0  44        1         0
#> 95.2  24.00      0  68        0         1
#> 71.1  24.00      0  51        0         0
#> 135.2 24.00      0  58        1         0
#> 12.1  24.00      0  63        0         0
#> 11    24.00      0  42        0         1
#> 95.3  24.00      0  68        0         1
#> 98.2  24.00      0  34        1         0
#> 27.2  24.00      0  63        1         0
#> 151   24.00      0  42        0         0
#> 9     24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 11.2  24.00      0  42        0         1
#> 135.3 24.00      0  58        1         0
#> 121   24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 3.1   24.00      0  31        1         0
#> 31.2  24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 173.2 24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 146.1 24.00      0  63        1         0
#> 156.2 24.00      0  50        1         0
#> 146.2 24.00      0  63        1         0
#> 147.1 24.00      0  76        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.321         NA        NA      NA
#> 2 age, Cure model           0.0112        NA        NA      NA
#> 3 grade_ii, Cure model     -0.757         NA        NA      NA
#> 4 grade_iii, Cure model     0.677         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                         estimate std.error statistic p.value
#>   <chr>                           <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00000552        NA        NA      NA
#> 2 grade_ii, Survival model   0.452             NA        NA      NA
#> 3 grade_iii, Survival model -0.211             NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.32108           0.01118          -0.75677           0.67673  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 248.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.32108486       0.01117703      -0.75677154       0.67672595 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     5.519055e-06     4.522669e-01    -2.113761e-01 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.489284818 0.403138145 0.163655578 0.663310209 0.364463260 0.094226718
#>   [7] 0.114866744 0.558344522 0.606020774 0.013533203 0.819193161 0.855882805
#>  [13] 0.672773183 0.125143712 0.432807728 0.499223461 0.828357574 0.192386012
#>  [19] 0.955286272 0.403138145 0.738330383 0.258607383 0.315867878 0.345056820
#>  [25] 0.258607383 0.286734757 0.374215868 0.374215868 0.577511035 0.801005361
#>  [31] 0.038276683 0.374215868 0.066145302 0.691547930 0.509199904 0.239478600
#>  [37] 0.937268740 0.901305137 0.529044207 0.432807728 0.286734757 0.315867878
#>  [43] 0.625421193 0.249008012 0.615706442 0.738330383 0.901305137 0.982080947
#>  [49] 0.828357574 0.038276683 0.577511035 0.229949113 0.013533203 0.432807728
#>  [55] 0.973111459 0.163655578 0.335194902 0.682160582 0.901305137 0.354760059
#>  [61] 0.577511035 0.432807728 0.644365721 0.056066821 0.955286272 0.738330383
#>  [67] 0.846661670 0.192386012 0.125143712 0.738330383 0.625421193 0.094226718
#>  [73] 0.220419578 0.691547930 0.558344522 0.738330383 0.125143712 0.644365721
#>  [79] 0.432807728 0.937268740 0.422839595 0.719543581 0.538912044 0.125143712
#>  [85] 0.874230569 0.548677527 0.004979631 0.874230569 0.192386012 0.519176314
#>  [91] 0.782817502 0.182828586 0.892284533 0.029037901 0.066145302 0.691547930
#>  [97] 0.982080947 0.801005361 0.306051926 0.865047421 0.928249406 0.719543581
#> [103] 0.782817502 0.258607383 0.432807728 0.066145302 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>   171   111    32   123   110   136   197   157    57    86    52   145   140 
#> 16.57 17.45 20.90 13.00 17.56 21.83 21.60 15.10 14.46 23.81 10.42 10.07 12.68 
#>    36    23   130    93   128    25 111.1    49    55     8   134  55.1    97 
#> 21.19 16.92 16.47 10.33 20.35  6.32 17.45 12.19 19.34 18.43 17.81 19.34 19.14 
#>   117 117.1   133    10   164 117.2   194    42    85   105    77    16   100 
#> 17.46 17.46 14.65 10.53 23.60 17.46 22.40 12.43 16.44 19.75  7.27  8.71 16.07 
#>  23.1  97.1   8.1    60   170    13  49.1  16.1   127  93.1 164.1 133.1   166 
#> 16.92 19.14 18.43 13.15 19.54 14.34 12.19  8.71  3.53 10.33 23.60 14.65 19.98 
#>  86.1  23.2    91  32.1   108   177  16.2   184 133.2  23.3   155    69  25.1 
#> 23.81 16.92  5.33 20.90 18.29 12.53  8.71 17.77 14.65 16.92 13.08 23.23  6.32 
#>  49.2    61 128.1    99  49.3  60.1 136.1   158  42.1 157.1  49.4  36.1 155.1 
#> 12.19 10.12 20.35 21.19 12.19 13.15 21.83 20.14 12.43 15.10 12.19 21.19 13.08 
#>  23.4  77.1    30    56   125  99.1   187    29    24 187.1 128.2    79   159 
#> 16.92  7.27 17.43 12.21 15.65 21.19  9.92 15.45 23.89  9.92 20.35 16.23 10.55 
#>   190   183   168 194.1  42.2 127.1  10.1   179   101    70  56.1 159.1    58 
#> 20.81  9.24 23.72 22.40 12.43  3.53 10.53 18.63  9.97  7.38 12.21 10.55 19.34 
#>  23.5 194.2    94   173   147   131   174    22   118    31    35   176   135 
#> 16.92 22.40 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   156    53   196    95   142    38   172  22.1 131.1     3    83    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.2    75 173.1   104 104.1    98    82    71   178   126  98.1    28   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116 135.1    62 156.1  28.1    34    27   186  31.1    19   138  95.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    74  27.1    12   141     1   185    67 118.1  95.2  71.1 135.2  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  95.3  98.2  27.2   151     9  11.1   146  11.2 135.3   121   144   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.2   143 116.1    21 173.2    46     2 146.1 156.2 146.2 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[34]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006422688               1.522470292               0.969507806 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.75986097              0.03425508              0.15591787 
#>   grade_iii, Cure model 
#>              1.22493968 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 107   11.18      1  54        1         0
#> 78    23.88      1  43        0         0
#> 55    19.34      1  69        0         1
#> 57    14.46      1  45        0         1
#> 194   22.40      1  38        0         1
#> 36    21.19      1  48        0         1
#> 96    14.54      1  33        0         1
#> 105   19.75      1  60        0         0
#> 134   17.81      1  47        1         0
#> 169   22.41      1  46        0         0
#> 13    14.34      1  54        0         1
#> 49    12.19      1  48        1         0
#> 101    9.97      1  10        0         1
#> 15    22.68      1  48        0         0
#> 78.1  23.88      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 113   22.86      1  34        0         0
#> 99    21.19      1  38        0         1
#> 70     7.38      1  30        1         0
#> 79    16.23      1  54        1         0
#> 167   15.55      1  56        1         0
#> 169.1 22.41      1  46        0         0
#> 90    20.94      1  50        0         1
#> 139   21.49      1  63        1         0
#> 159   10.55      1  50        0         1
#> 61    10.12      1  36        0         1
#> 171   16.57      1  41        0         1
#> 155   13.08      1  26        0         0
#> 50    10.02      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 136   21.83      1  43        0         1
#> 125   15.65      1  67        1         0
#> 169.2 22.41      1  46        0         0
#> 42    12.43      1  49        0         1
#> 179   18.63      1  42        0         0
#> 168   23.72      1  70        0         0
#> 130.1 16.47      1  53        0         1
#> 23    16.92      1  61        0         0
#> 188   16.16      1  46        0         1
#> 93    10.33      1  52        0         1
#> 149    8.37      1  33        1         0
#> 150   20.33      1  48        0         0
#> 39    15.59      1  37        0         1
#> 6     15.64      1  39        0         0
#> 149.1  8.37      1  33        1         0
#> 66    22.13      1  53        0         0
#> 36.1  21.19      1  48        0         1
#> 24    23.89      1  38        0         0
#> 190   20.81      1  42        1         0
#> 23.1  16.92      1  61        0         0
#> 171.1 16.57      1  41        0         1
#> 60    13.15      1  38        1         0
#> 41    18.02      1  40        1         0
#> 92    22.92      1  47        0         1
#> 90.1  20.94      1  50        0         1
#> 187    9.92      1  39        1         0
#> 101.1  9.97      1  10        0         1
#> 149.2  8.37      1  33        1         0
#> 4     17.64      1  NA        0         1
#> 188.1 16.16      1  46        0         1
#> 154   12.63      1  20        1         0
#> 134.1 17.81      1  47        1         0
#> 41.1  18.02      1  40        1         0
#> 57.1  14.46      1  45        0         1
#> 13.1  14.34      1  54        0         1
#> 127    3.53      1  62        0         1
#> 177   12.53      1  75        0         0
#> 85    16.44      1  36        0         0
#> 107.1 11.18      1  54        1         0
#> 6.1   15.64      1  39        0         0
#> 175   21.91      1  43        0         0
#> 195   11.76      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 78.2  23.88      1  43        0         0
#> 169.3 22.41      1  46        0         0
#> 199   19.81      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 88    18.37      1  47        0         0
#> 100   16.07      1  60        0         0
#> 127.1  3.53      1  62        0         1
#> 192   16.44      1  31        1         0
#> 177.1 12.53      1  75        0         0
#> 150.1 20.33      1  48        0         0
#> 175.1 21.91      1  43        0         0
#> 124    9.73      1  NA        1         0
#> 175.2 21.91      1  43        0         0
#> 136.1 21.83      1  43        0         1
#> 50.1  10.02      1  NA        1         0
#> 134.2 17.81      1  47        1         0
#> 89    11.44      1  NA        0         0
#> 195.1 11.76      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 117   17.46      1  26        0         1
#> 125.1 15.65      1  67        1         0
#> 93.1  10.33      1  52        0         1
#> 97    19.14      1  65        0         1
#> 183    9.24      1  67        1         0
#> 76    19.22      1  54        0         1
#> 124.1  9.73      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 168.1 23.72      1  70        0         0
#> 79.1  16.23      1  54        1         0
#> 158   20.14      1  74        1         0
#> 23.2  16.92      1  61        0         0
#> 30    17.43      1  78        0         0
#> 90.2  20.94      1  50        0         1
#> 195.2 11.76      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 125.2 15.65      1  67        1         0
#> 79.2  16.23      1  54        1         0
#> 51    18.23      1  83        0         1
#> 151   24.00      0  42        0         0
#> 21    24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 12    24.00      0  63        0         0
#> 46    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 3     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 11    24.00      0  42        0         1
#> 143   24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 3.1   24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 182   24.00      0  35        0         0
#> 83.1  24.00      0   6        0         0
#> 176   24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 160   24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 138   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 71    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 141   24.00      0  44        1         0
#> 182.1 24.00      0  35        0         0
#> 103   24.00      0  56        1         0
#> 104   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 34.1  24.00      0  36        0         0
#> 138.1 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 109   24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 82    24.00      0  34        0         0
#> 3.2   24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 54    24.00      0  53        1         0
#> 193   24.00      0  45        0         1
#> 186   24.00      0  45        1         0
#> 75.1  24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 11.1  24.00      0  42        0         1
#> 196   24.00      0  19        0         0
#> 173   24.00      0  19        0         1
#> 47    24.00      0  38        0         1
#> 21.1  24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 75.2  24.00      0  21        1         0
#> 132   24.00      0  55        0         0
#> 119   24.00      0  17        0         0
#> 27.1  24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 104.1 24.00      0  50        1         0
#> 34.2  24.00      0  36        0         0
#> 143.1 24.00      0  51        0         0
#> 196.1 24.00      0  19        0         0
#> 102   24.00      0  49        0         0
#> 27.2  24.00      0  63        1         0
#> 33    24.00      0  53        0         0
#> 102.1 24.00      0  49        0         0
#> 67    24.00      0  25        0         0
#> 12.1  24.00      0  63        0         0
#> 119.1 24.00      0  17        0         0
#> 115.1 24.00      0  NA        1         0
#> 67.1  24.00      0  25        0         0
#> 87    24.00      0  27        0         0
#> 131   24.00      0  66        0         0
#> 7.1   24.00      0  37        1         0
#> 182.2 24.00      0  35        0         0
#> 121   24.00      0  57        1         0
#> 182.3 24.00      0  35        0         0
#> 186.1 24.00      0  45        1         0
#> 80    24.00      0  41        0         0
#> 132.1 24.00      0  55        0         0
#> 94    24.00      0  51        0         1
#> 31    24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 135.1 24.00      0  58        1         0
#> 196.2 24.00      0  19        0         0
#> 3.3   24.00      0  31        1         0
#> 34.3  24.00      0  36        0         0
#> 161   24.00      0  45        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.76          NA        NA      NA
#> 2 age, Cure model           0.0343        NA        NA      NA
#> 3 grade_ii, Cure model      0.156         NA        NA      NA
#> 4 grade_iii, Cure model     1.22          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00642        NA        NA      NA
#> 2 grade_ii, Survival model   1.52           NA        NA      NA
#> 3 grade_iii, Survival model  0.970          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.75986           0.03426           0.15592           1.22494  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 237.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.75986097       0.03425508       0.15591787       1.22493968 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006422688      1.522470292      0.969507806 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.90700804 0.03674495 0.53174195 0.83203730 0.25597679 0.39028261
#>   [7] 0.82546119 0.52102269 0.61254996 0.18906709 0.84493952 0.90095639
#>  [13] 0.94181915 0.17145212 0.03674495 0.11855561 0.15430563 0.39028261
#>  [19] 0.97975488 0.73527607 0.81882518 0.18906709 0.42960172 0.37516559
#>  [25] 0.91872197 0.93608122 0.68753610 0.86394364 0.70381089 0.34292222
#>  [31] 0.77828643 0.18906709 0.88867099 0.56296462 0.08021078 0.70381089
#>  [37] 0.66266856 0.75689835 0.92456363 0.96410057 0.48846059 0.81206877
#>  [43] 0.79849078 0.96410057 0.27330403 0.39028261 0.01025307 0.47751032
#>  [49] 0.66266856 0.68753610 0.85767376 0.59385855 0.13752641 0.42960172
#>  [55] 0.95305900 0.94181915 0.96410057 0.75689835 0.87022053 0.61254996
#>  [61] 0.59385855 0.83203730 0.84493952 0.98991732 0.87636312 0.71976261
#>  [67] 0.90700804 0.79849078 0.29095439 0.01025307 0.03674495 0.18906709
#>  [73] 0.89480695 0.57326344 0.77112085 0.98991732 0.71976261 0.87636312
#>  [79] 0.48846059 0.29095439 0.29095439 0.34292222 0.61254996 0.97975488
#>  [85] 0.63764897 0.77828643 0.92456363 0.55271016 0.95861127 0.54231359
#>  [91] 0.65437567 0.08021078 0.73527607 0.51037350 0.66266856 0.64599098
#>  [97] 0.42960172 0.46589418 0.77828643 0.73527607 0.58361070 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   107    78    55    57   194    36    96   105   134   169    13    49   101 
#> 11.18 23.88 19.34 14.46 22.40 21.19 14.54 19.75 17.81 22.41 14.34 12.19  9.97 
#>    15  78.1   164   113    99    70    79   167 169.1    90   139   159    61 
#> 22.68 23.88 23.60 22.86 21.19  7.38 16.23 15.55 22.41 20.94 21.49 10.55 10.12 
#>   171   155   130   136   125 169.2    42   179   168 130.1    23   188    93 
#> 16.57 13.08 16.47 21.83 15.65 22.41 12.43 18.63 23.72 16.47 16.92 16.16 10.33 
#>   149   150    39     6 149.1    66  36.1    24   190  23.1 171.1    60    41 
#>  8.37 20.33 15.59 15.64  8.37 22.13 21.19 23.89 20.81 16.92 16.57 13.15 18.02 
#>    92  90.1   187 101.1 149.2 188.1   154 134.1  41.1  57.1  13.1   127   177 
#> 22.92 20.94  9.92  9.97  8.37 16.16 12.63 17.81 18.02 14.46 14.34  3.53 12.53 
#>    85 107.1   6.1   175  24.1  78.2 169.3    56    88   100 127.1   192 177.1 
#> 16.44 11.18 15.64 21.91 23.89 23.88 22.41 12.21 18.37 16.07  3.53 16.44 12.53 
#> 150.1 175.1 175.2 136.1 134.2  70.1   117 125.1  93.1    97   183    76    45 
#> 20.33 21.91 21.91 21.83 17.81  7.38 17.46 15.65 10.33 19.14  9.24 19.22 17.42 
#> 168.1  79.1   158  23.2    30  90.2    32 125.2  79.2    51   151    21   174 
#> 23.72 16.23 20.14 16.92 17.43 20.94 20.90 15.65 16.23 18.23 24.00 24.00 24.00 
#>    12    46     3    83    11   143   162   116   3.1 151.1   182  83.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   160    75   138    27    17    71    34   141 182.1   103   104   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1 138.1    84   109   163    82   3.2     7    54   193   186  75.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   126  11.1   196   173    47  21.1   191  75.2   132   119  27.1    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1  34.2 143.1 196.1   102  27.2    33 102.1    67  12.1 119.1  67.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   7.1 182.2   121 182.3 186.1    80 132.1    94    31   172   156   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1 196.2   3.3  34.3   161 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[35]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004447739               0.502396241               0.004660948 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.6569223               0.0297834              -0.1301515 
#>   grade_iii, Cure model 
#>               1.4553295 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 105   19.75      1  60        0         0
#> 77     7.27      1  67        0         1
#> 124    9.73      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 133   14.65      1  57        0         0
#> 93    10.33      1  52        0         1
#> 167   15.55      1  56        1         0
#> 175   21.91      1  43        0         0
#> 26    15.77      1  49        0         1
#> 32    20.90      1  37        1         0
#> 181   16.46      1  45        0         1
#> 69    23.23      1  25        0         1
#> 88    18.37      1  47        0         0
#> 157   15.10      1  47        0         0
#> 149    8.37      1  33        1         0
#> 99    21.19      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 188.1 16.16      1  46        0         1
#> 124.1  9.73      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 184   17.77      1  38        0         0
#> 110   17.56      1  65        0         1
#> 133.1 14.65      1  57        0         0
#> 88.1  18.37      1  47        0         0
#> 117   17.46      1  26        0         1
#> 90    20.94      1  50        0         1
#> 14    12.89      1  21        0         0
#> 155   13.08      1  26        0         0
#> 128   20.35      1  35        0         1
#> 29    15.45      1  68        1         0
#> 70     7.38      1  30        1         0
#> 5     16.43      1  51        0         1
#> 61    10.12      1  36        0         1
#> 180   14.82      1  37        0         0
#> 128.1 20.35      1  35        0         1
#> 99.1  21.19      1  38        0         1
#> 108   18.29      1  39        0         1
#> 42    12.43      1  49        0         1
#> 45    17.42      1  54        0         1
#> 127    3.53      1  62        0         1
#> 89    11.44      1  NA        0         0
#> 177   12.53      1  75        0         0
#> 58    19.34      1  39        0         0
#> 183    9.24      1  67        1         0
#> 105.1 19.75      1  60        0         0
#> 159   10.55      1  50        0         1
#> 99.2  21.19      1  38        0         1
#> 70.1   7.38      1  30        1         0
#> 171   16.57      1  41        0         1
#> 155.1 13.08      1  26        0         0
#> 105.2 19.75      1  60        0         0
#> 99.3  21.19      1  38        0         1
#> 124.2  9.73      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 114   13.68      1  NA        0         0
#> 30    17.43      1  78        0         0
#> 96    14.54      1  33        0         1
#> 166   19.98      1  48        0         0
#> 125   15.65      1  67        1         0
#> 187    9.92      1  39        1         0
#> 184.1 17.77      1  38        0         0
#> 15    22.68      1  48        0         0
#> 50.1  10.02      1  NA        1         0
#> 29.1  15.45      1  68        1         0
#> 10    10.53      1  34        0         0
#> 26.1  15.77      1  49        0         1
#> 188.2 16.16      1  46        0         1
#> 105.3 19.75      1  60        0         0
#> 45.1  17.42      1  54        0         1
#> 85    16.44      1  36        0         0
#> 110.1 17.56      1  65        0         1
#> 52    10.42      1  52        0         1
#> 88.2  18.37      1  47        0         0
#> 136   21.83      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 114.1 13.68      1  NA        0         0
#> 168   23.72      1  70        0         0
#> 30.1  17.43      1  78        0         0
#> 177.2 12.53      1  75        0         0
#> 184.2 17.77      1  38        0         0
#> 68    20.62      1  44        0         0
#> 179   18.63      1  42        0         0
#> 153   21.33      1  55        1         0
#> 139   21.49      1  63        1         0
#> 45.2  17.42      1  54        0         1
#> 183.1  9.24      1  67        1         0
#> 90.1  20.94      1  50        0         1
#> 42.1  12.43      1  49        0         1
#> 13    14.34      1  54        0         1
#> 125.1 15.65      1  67        1         0
#> 69.1  23.23      1  25        0         1
#> 52.1  10.42      1  52        0         1
#> 169   22.41      1  46        0         0
#> 189.1 10.51      1  NA        1         0
#> 42.2  12.43      1  49        0         1
#> 16     8.71      1  71        0         1
#> 77.1   7.27      1  67        0         1
#> 52.2  10.42      1  52        0         1
#> 164   23.60      1  76        0         1
#> 10.1  10.53      1  34        0         0
#> 106   16.67      1  49        1         0
#> 69.2  23.23      1  25        0         1
#> 199   19.81      1  NA        0         1
#> 184.3 17.77      1  38        0         0
#> 43    12.10      1  61        0         1
#> 5.1   16.43      1  51        0         1
#> 194   22.40      1  38        0         1
#> 101    9.97      1  10        0         1
#> 92    22.92      1  47        0         1
#> 133.2 14.65      1  57        0         0
#> 56    12.21      1  60        0         0
#> 87    24.00      0  27        0         0
#> 137   24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 47    24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 163   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 112   24.00      0  61        0         0
#> 142   24.00      0  53        0         0
#> 174   24.00      0  49        1         0
#> 196.1 24.00      0  19        0         0
#> 22    24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 146   24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 67    24.00      0  25        0         0
#> 83    24.00      0   6        0         0
#> 135   24.00      0  58        1         0
#> 98    24.00      0  34        1         0
#> 144   24.00      0  28        0         1
#> 109   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 143   24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 84.1  24.00      0  39        0         1
#> 165   24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 115   24.00      0  NA        1         0
#> 75    24.00      0  21        1         0
#> 47.1  24.00      0  38        0         1
#> 109.1 24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 1     24.00      0  23        1         0
#> 151   24.00      0  42        0         0
#> 121   24.00      0  57        1         0
#> 83.1  24.00      0   6        0         0
#> 198   24.00      0  66        0         1
#> 131   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 126   24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 47.2  24.00      0  38        0         1
#> 151.1 24.00      0  42        0         0
#> 191   24.00      0  60        0         1
#> 200   24.00      0  64        0         0
#> 1.1   24.00      0  23        1         0
#> 131.1 24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 67.1  24.00      0  25        0         0
#> 165.1 24.00      0  47        0         0
#> 161.1 24.00      0  45        0         0
#> 112.1 24.00      0  61        0         0
#> 19    24.00      0  57        0         1
#> 46    24.00      0  71        0         0
#> 131.2 24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 132.1 24.00      0  55        0         0
#> 141.1 24.00      0  44        1         0
#> 1.2   24.00      0  23        1         0
#> 33    24.00      0  53        0         0
#> 34.1  24.00      0  36        0         0
#> 44    24.00      0  56        0         0
#> 162   24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 82    24.00      0  34        0         0
#> 143.1 24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 162.1 24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 2.1   24.00      0   9        0         0
#> 144.1 24.00      0  28        0         1
#> 2.2   24.00      0   9        0         0
#> 138   24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 182   24.00      0  35        0         0
#> 74.1  24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 162.2 24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 98.1  24.00      0  34        1         0
#> 109.2 24.00      0  48        0         0
#> 84.2  24.00      0  39        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.66          NA        NA      NA
#> 2 age, Cure model           0.0298        NA        NA      NA
#> 3 grade_ii, Cure model     -0.130         NA        NA      NA
#> 4 grade_iii, Cure model     1.46          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00445        NA        NA      NA
#> 2 grade_ii, Survival model   0.502          NA        NA      NA
#> 3 grade_iii, Survival model  0.00466        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.65692           0.02978          -0.13015           1.45533  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 229 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.6569223        0.0297834       -0.1301515        1.4553295 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004447739      0.502396241      0.004660948 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.35686588 0.97842959 0.22774209 0.73230472 0.90395214 0.69150302
#>   [7] 0.17278924 0.65717676 0.30330840 0.59529588 0.06803164 0.42654605
#>  [13] 0.71607944 0.95663039 0.22774209 0.63103304 0.63103304 0.40638565
#>  [19] 0.46537752 0.50292800 0.73230472 0.42654605 0.52182201 0.28107611
#>  [25] 0.78797591 0.77212317 0.32510731 0.69988755 0.96398049 0.61330927
#>  [31] 0.91159898 0.72420021 0.32510731 0.22774209 0.45554136 0.81929837
#>  [37] 0.54991410 0.99280368 0.79593468 0.39621023 0.93443850 0.35686588
#>  [43] 0.85804053 0.22774209 0.96398049 0.58624638 0.77212317 0.35686588
#>  [49] 0.22774209 0.79593468 0.53133391 0.75612456 0.34622128 0.67460756
#>  [55] 0.92686653 0.46537752 0.12695879 0.69988755 0.86578307 0.65717676
#>  [61] 0.63103304 0.35686588 0.54991410 0.60431423 0.50292800 0.88115424
#>  [67] 0.42654605 0.18749095 0.02280586 0.53133391 0.79593468 0.46537752
#>  [73] 0.31424869 0.41649090 0.21527344 0.20194802 0.54991410 0.93443850
#>  [79] 0.28107611 0.81929837 0.76413548 0.67460756 0.06803164 0.88115424
#>  [85] 0.14257795 0.81929837 0.94922832 0.97842959 0.88115424 0.04744072
#>  [91] 0.86578307 0.57716806 0.06803164 0.46537752 0.85028014 0.61330927
#>  [97] 0.15782004 0.91923435 0.11087182 0.73230472 0.84249717 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   105    77    36   133    93   167   175    26    32   181    69    88   157 
#> 19.75  7.27 21.19 14.65 10.33 15.55 21.91 15.77 20.90 16.46 23.23 18.37 15.10 
#>   149    99   188 188.1    76   184   110 133.1  88.1   117    90    14   155 
#>  8.37 21.19 16.16 16.16 19.22 17.77 17.56 14.65 18.37 17.46 20.94 12.89 13.08 
#>   128    29    70     5    61   180 128.1  99.1   108    42    45   127   177 
#> 20.35 15.45  7.38 16.43 10.12 14.82 20.35 21.19 18.29 12.43 17.42  3.53 12.53 
#>    58   183 105.1   159  99.2  70.1   171 155.1 105.2  99.3 177.1    30    96 
#> 19.34  9.24 19.75 10.55 21.19  7.38 16.57 13.08 19.75 21.19 12.53 17.43 14.54 
#>   166   125   187 184.1    15  29.1    10  26.1 188.2 105.3  45.1    85 110.1 
#> 19.98 15.65  9.92 17.77 22.68 15.45 10.53 15.77 16.16 19.75 17.42 16.44 17.56 
#>    52  88.2   136   168  30.1 177.2 184.2    68   179   153   139  45.2 183.1 
#> 10.42 18.37 21.83 23.72 17.43 12.53 17.77 20.62 18.63 21.33 21.49 17.42  9.24 
#>  90.1  42.1    13 125.1  69.1  52.1   169  42.2    16  77.1  52.2   164  10.1 
#> 20.94 12.43 14.34 15.65 23.23 10.42 22.41 12.43  8.71  7.27 10.42 23.60 10.53 
#>   106  69.2 184.3    43   5.1   194   101    92 133.2    56    87   137    84 
#> 16.67 23.23 17.77 12.10 16.43 22.40  9.97 22.92 14.65 12.21 24.00 24.00 24.00 
#>    47    95    34   163   132   141   196   112   142   174 196.1    22   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    35     2    67    83   135    98   144   109    72   143  35.1  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   186    75  47.1 109.1    20     1   151   121  83.1   198   131   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    21  47.2 151.1   191   200   1.1 131.1    31     9  67.1 165.1 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1    19    46 131.2    54 132.1 141.1   1.2    33  34.1    44   162    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1    48    74 162.1   103   2.1 144.1   2.2   138   182  74.1   172 162.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64  98.1 109.2  84.2 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[36]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0005533265              0.5673417020              0.0204185862 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.24390386              0.02657256             -0.17388670 
#>   grade_iii, Cure model 
#>              1.07337526 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 69    23.23      1  25        0         1
#> 93    10.33      1  52        0         1
#> 125   15.65      1  67        1         0
#> 79    16.23      1  54        1         0
#> 164   23.60      1  76        0         1
#> 37    12.52      1  57        1         0
#> 199   19.81      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 10    10.53      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 66    22.13      1  53        0         0
#> 32    20.90      1  37        1         0
#> 169   22.41      1  46        0         0
#> 4     17.64      1  NA        0         1
#> 181   16.46      1  45        0         1
#> 149    8.37      1  33        1         0
#> 30    17.43      1  78        0         0
#> 88    18.37      1  47        0         0
#> 70     7.38      1  30        1         0
#> 105   19.75      1  60        0         0
#> 29    15.45      1  68        1         0
#> 24    23.89      1  38        0         0
#> 195   11.76      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 42    12.43      1  49        0         1
#> 136   21.83      1  43        0         1
#> 8     18.43      1  32        0         0
#> 164.1 23.60      1  76        0         1
#> 157   15.10      1  47        0         0
#> 89.1  11.44      1  NA        0         0
#> 63    22.77      1  31        1         0
#> 68    20.62      1  44        0         0
#> 90    20.94      1  50        0         1
#> 145   10.07      1  65        1         0
#> 110   17.56      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 199.1 19.81      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 149.1  8.37      1  33        1         0
#> 18    15.21      1  49        1         0
#> 14    12.89      1  21        0         0
#> 29.1  15.45      1  68        1         0
#> 130   16.47      1  53        0         1
#> 86    23.81      1  58        0         1
#> 179   18.63      1  42        0         0
#> 199.2 19.81      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 199.3 19.81      1  NA        0         1
#> 114   13.68      1  NA        0         0
#> 89.2  11.44      1  NA        0         0
#> 125.1 15.65      1  67        1         0
#> 52    10.42      1  52        0         1
#> 199.4 19.81      1  NA        0         1
#> 57    14.46      1  45        0         1
#> 86.1  23.81      1  58        0         1
#> 177   12.53      1  75        0         0
#> 169.1 22.41      1  46        0         0
#> 25     6.32      1  34        1         0
#> 86.2  23.81      1  58        0         1
#> 37.1  12.52      1  57        1         0
#> 130.1 16.47      1  53        0         1
#> 133   14.65      1  57        0         0
#> 125.2 15.65      1  67        1         0
#> 177.1 12.53      1  75        0         0
#> 39    15.59      1  37        0         1
#> 15    22.68      1  48        0         0
#> 106   16.67      1  49        1         0
#> 180   14.82      1  37        0         0
#> 124    9.73      1  NA        1         0
#> 180.1 14.82      1  37        0         0
#> 79.1  16.23      1  54        1         0
#> 96    14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 60.1  13.15      1  38        1         0
#> 66.1  22.13      1  53        0         0
#> 49    12.19      1  48        1         0
#> 5     16.43      1  51        0         1
#> 81    14.06      1  34        0         0
#> 76    19.22      1  54        0         1
#> 70.1   7.38      1  30        1         0
#> 106.1 16.67      1  49        1         0
#> 63.1  22.77      1  31        1         0
#> 43    12.10      1  61        0         1
#> 114.1 13.68      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 134   17.81      1  47        1         0
#> 188   16.16      1  46        0         1
#> 175   21.91      1  43        0         0
#> 199.5 19.81      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 105.1 19.75      1  60        0         0
#> 63.2  22.77      1  31        1         0
#> 10.1  10.53      1  34        0         0
#> 61    10.12      1  36        0         1
#> 145.1 10.07      1  65        1         0
#> 127    3.53      1  62        0         1
#> 14.1  12.89      1  21        0         0
#> 8.1   18.43      1  32        0         0
#> 37.2  12.52      1  57        1         0
#> 105.2 19.75      1  60        0         0
#> 81.1  14.06      1  34        0         0
#> 110.1 17.56      1  65        0         1
#> 187    9.92      1  39        1         0
#> 181.1 16.46      1  45        0         1
#> 195.1 11.76      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 8.2   18.43      1  32        0         0
#> 90.2  20.94      1  50        0         1
#> 29.2  15.45      1  68        1         0
#> 24.1  23.89      1  38        0         0
#> 118   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 7     24.00      0  37        1         0
#> 109   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 198   24.00      0  66        0         1
#> 200   24.00      0  64        0         0
#> 132   24.00      0  55        0         0
#> 116   24.00      0  58        0         1
#> 161   24.00      0  45        0         0
#> 46    24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 162   24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 138   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 186   24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 7.1   24.00      0  37        1         0
#> 48    24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 7.2   24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 47    24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 174.1 24.00      0  49        1         0
#> 138.1 24.00      0  44        1         0
#> 138.2 24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 9.1   24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 44    24.00      0  56        0         0
#> 72    24.00      0  40        0         1
#> 1.1   24.00      0  23        1         0
#> 118.1 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 72.1  24.00      0  40        0         1
#> 160   24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 185   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 182.1 24.00      0  35        0         0
#> 34.1  24.00      0  36        0         0
#> 38    24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 75.1  24.00      0  21        1         0
#> 9.2   24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 46.1  24.00      0  71        0         0
#> 38.1  24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 53    24.00      0  32        0         1
#> 102   24.00      0  49        0         0
#> 73.1  24.00      0  NA        0         1
#> 115   24.00      0  NA        1         0
#> 62    24.00      0  71        0         0
#> 126.1 24.00      0  48        0         0
#> 162.2 24.00      0  51        0         0
#> 12.2  24.00      0  63        0         0
#> 115.1 24.00      0  NA        1         0
#> 27.1  24.00      0  63        1         0
#> 143   24.00      0  51        0         0
#> 53.1  24.00      0  32        0         1
#> 7.3   24.00      0  37        1         0
#> 9.3   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 185.1 24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 87.1  24.00      0  27        0         0
#> 161.1 24.00      0  45        0         0
#> 1.2   24.00      0  23        1         0
#> 65    24.00      0  57        1         0
#> 65.1  24.00      0  57        1         0
#> 34.2  24.00      0  36        0         0
#> 121   24.00      0  57        1         0
#> 174.2 24.00      0  49        1         0
#> 174.3 24.00      0  49        1         0
#> 54    24.00      0  53        1         0
#> 185.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.24          NA        NA      NA
#> 2 age, Cure model           0.0266        NA        NA      NA
#> 3 grade_ii, Cure model     -0.174         NA        NA      NA
#> 4 grade_iii, Cure model     1.07          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000553        NA        NA      NA
#> 2 grade_ii, Survival model   0.567           NA        NA      NA
#> 3 grade_iii, Survival model  0.0204          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.24390           0.02657          -0.17389           1.07338  
#> 
#> Degrees of Freedom: 179 Total (i.e. Null);  176 Residual
#> Null Deviance:	    248.7 
#> Residual Deviance: 232 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.24390386       0.02657256      -0.17388670       1.07337526 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0005533265     0.5673417020     0.0204185862 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.11370623 0.88870179 0.58533829 0.55510494 0.08502563 0.80911606
#>   [7] 0.44013150 0.86221910 0.26751059 0.19748096 0.31111600 0.17429217
#>  [13] 0.52407408 0.93249021 0.47210055 0.41847355 0.94953502 0.33293426
#>  [19] 0.62397290 0.01664965 0.98320417 0.83559078 0.23272658 0.38656184
#>  [25] 0.08502563 0.66129745 0.12907624 0.32202067 0.27873877 0.90641876
#>  [31] 0.45086787 0.27873877 0.73601373 0.93249021 0.65193687 0.76351186
#>  [37] 0.62397290 0.50345791 0.04623044 0.37563450 0.96635803 0.58533829
#>  [43] 0.87984401 0.70801184 0.04623044 0.79094486 0.17429217 0.97480769
#>  [49] 0.04623044 0.80911606 0.50345791 0.68926917 0.58533829 0.79094486
#>  [55] 0.61419819 0.16232798 0.48284935 0.67066144 0.67066144 0.55510494
#>  [61] 0.69864064 0.24470358 0.73601373 0.19748096 0.84451121 0.54469397
#>  [67] 0.71738360 0.36471448 0.94953502 0.48284935 0.12907624 0.85336455
#>  [73] 0.25628536 0.42940059 0.57520035 0.22075180 0.78181506 0.33293426
#>  [79] 0.12907624 0.86221910 0.89756030 0.90641876 0.99160159 0.76351186
#>  [85] 0.38656184 0.80911606 0.33293426 0.71738360 0.45086787 0.92381190
#>  [91] 0.52407408 0.75430732 0.38656184 0.27873877 0.62397290 0.01664965
#>  [97] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    69    93   125    79   164    37   184    10    36    66    32   169   181 
#> 23.23 10.33 15.65 16.23 23.60 12.52 17.77 10.53 21.19 22.13 20.90 22.41 16.46 
#>   149    30    88    70   105    29    24    91    42   136     8 164.1   157 
#>  8.37 17.43 18.37  7.38 19.75 15.45 23.89  5.33 12.43 21.83 18.43 23.60 15.10 
#>    63    68    90   145   110  90.1    60 149.1    18    14  29.1   130    86 
#> 22.77 20.62 20.94 10.07 17.56 20.94 13.15  8.37 15.21 12.89 15.45 16.47 23.81 
#>   179    77 125.1    52    57  86.1   177 169.1    25  86.2  37.1 130.1   133 
#> 18.63  7.27 15.65 10.42 14.46 23.81 12.53 22.41  6.32 23.81 12.52 16.47 14.65 
#> 125.2 177.1    39    15   106   180 180.1  79.1    96   197  60.1  66.1    49 
#> 15.65 12.53 15.59 22.68 16.67 14.82 14.82 16.23 14.54 21.60 13.15 22.13 12.19 
#>     5    81    76  70.1 106.1  63.1    43   139   134   188   175   140 105.1 
#> 16.43 14.06 19.22  7.38 16.67 22.77 12.10 21.49 17.81 16.16 21.91 12.68 19.75 
#>  63.2  10.1    61 145.1   127  14.1   8.1  37.2 105.2  81.1 110.1   187 181.1 
#> 22.77 10.53 10.12 10.07  3.53 12.89 18.43 12.52 19.75 14.06 17.56  9.92 16.46 
#>   155   8.2  90.2  29.2  24.1   118    75   103     7   109     9     1   198 
#> 13.08 18.43 20.94 15.45 23.89 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200   132   116   161    46   182   162    67   138   174   186    35   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   7.2    27   126    87    47    34 174.1 138.1 138.2 162.1    12   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3 103.1    44    72   1.1 118.1    84  72.1   160    31   185   176   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1  34.1    38 109.1  75.1   9.2   3.1  12.1  46.1  38.1    83    53   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62 126.1 162.2  12.2  27.1   143  53.1   7.3   9.3   142   119 185.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1 161.1   1.2    65  65.1  34.2   121 174.2 174.3    54 185.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[37]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006489781               0.209806230               0.376100454 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.0718265799            0.0002751754            0.1543568209 
#>   grade_iii, Cure model 
#>            0.5589178207 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 93    10.33      1  52        0         1
#> 68    20.62      1  44        0         0
#> 108   18.29      1  39        0         1
#> 81    14.06      1  34        0         0
#> 97    19.14      1  65        0         1
#> 113   22.86      1  34        0         0
#> 16     8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 78    23.88      1  43        0         0
#> 45    17.42      1  54        0         1
#> 50    10.02      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 30    17.43      1  78        0         0
#> 187    9.92      1  39        1         0
#> 16.1   8.71      1  71        0         1
#> 136   21.83      1  43        0         1
#> 169   22.41      1  46        0         0
#> 50.1  10.02      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 79    16.23      1  54        1         0
#> 52    10.42      1  52        0         1
#> 130   16.47      1  53        0         1
#> 139   21.49      1  63        1         0
#> 29    15.45      1  68        1         0
#> 70     7.38      1  30        1         0
#> 199   19.81      1  NA        0         1
#> 70.1   7.38      1  30        1         0
#> 6     15.64      1  39        0         0
#> 101    9.97      1  10        0         1
#> 128   20.35      1  35        0         1
#> 167.1 15.55      1  56        1         0
#> 129   23.41      1  53        1         0
#> 49    12.19      1  48        1         0
#> 66    22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 133   14.65      1  57        0         0
#> 14    12.89      1  21        0         0
#> 8     18.43      1  32        0         0
#> 13    14.34      1  54        0         1
#> 63    22.77      1  31        1         0
#> 158   20.14      1  74        1         0
#> 190   20.81      1  42        1         0
#> 100   16.07      1  60        0         0
#> 129.1 23.41      1  53        1         0
#> 69    23.23      1  25        0         1
#> 199.1 19.81      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 197   21.60      1  69        1         0
#> 66.1  22.13      1  53        0         0
#> 69.1  23.23      1  25        0         1
#> 50.2  10.02      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 134   17.81      1  47        1         0
#> 139.1 21.49      1  63        1         0
#> 76    19.22      1  54        0         1
#> 8.1   18.43      1  32        0         0
#> 89    11.44      1  NA        0         0
#> 179   18.63      1  42        0         0
#> 15    22.68      1  48        0         0
#> 92    22.92      1  47        0         1
#> 5     16.43      1  51        0         1
#> 36    21.19      1  48        0         1
#> 81.1  14.06      1  34        0         0
#> 194   22.40      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 50.3  10.02      1  NA        1         0
#> 133.1 14.65      1  57        0         0
#> 129.2 23.41      1  53        1         0
#> 70.2   7.38      1  30        1         0
#> 91     5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 10    10.53      1  34        0         0
#> 78.1  23.88      1  43        0         0
#> 76.2  19.22      1  54        0         1
#> 117   17.46      1  26        0         1
#> 157   15.10      1  47        0         0
#> 158.1 20.14      1  74        1         0
#> 166   19.98      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 157.1 15.10      1  47        0         0
#> 4     17.64      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 117.1 17.46      1  26        0         1
#> 16.2   8.71      1  71        0         1
#> 158.2 20.14      1  74        1         0
#> 127    3.53      1  62        0         1
#> 37.1  12.52      1  57        1         0
#> 90    20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 24    23.89      1  38        0         0
#> 125   15.65      1  67        1         0
#> 50.4  10.02      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 30.1  17.43      1  78        0         0
#> 63.1  22.77      1  31        1         0
#> 78.2  23.88      1  43        0         0
#> 40.1  18.00      1  28        1         0
#> 197.1 21.60      1  69        1         0
#> 145   10.07      1  65        1         0
#> 89.1  11.44      1  NA        0         0
#> 189.1 10.51      1  NA        1         0
#> 134.1 17.81      1  47        1         0
#> 92.1  22.92      1  47        0         1
#> 180   14.82      1  37        0         0
#> 14.1  12.89      1  21        0         0
#> 45.1  17.42      1  54        0         1
#> 43    12.10      1  61        0         1
#> 14.2  12.89      1  21        0         0
#> 40.2  18.00      1  28        1         0
#> 61    10.12      1  36        0         1
#> 82    24.00      0  34        0         0
#> 138   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 102   24.00      0  49        0         0
#> 196   24.00      0  19        0         0
#> 31    24.00      0  36        0         1
#> 1.1   24.00      0  23        1         0
#> 191   24.00      0  60        0         1
#> 132   24.00      0  55        0         0
#> 198   24.00      0  66        0         1
#> 161   24.00      0  45        0         0
#> 44    24.00      0  56        0         0
#> 178   24.00      0  52        1         0
#> 191.1 24.00      0  60        0         1
#> 135   24.00      0  58        1         0
#> 104   24.00      0  50        1         0
#> 156   24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 82.1  24.00      0  34        0         0
#> 72    24.00      0  40        0         1
#> 200   24.00      0  64        0         0
#> 120   24.00      0  68        0         1
#> 9     24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 102.1 24.00      0  49        0         0
#> 109   24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 95    24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 151   24.00      0  42        0         0
#> 33    24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 185   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 116   24.00      0  58        0         1
#> 35    24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 152   24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 104.1 24.00      0  50        1         0
#> 163.1 24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 174   24.00      0  49        1         0
#> 75    24.00      0  21        1         0
#> 126.1 24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 75.1  24.00      0  21        1         0
#> 160   24.00      0  31        1         0
#> 1.2   24.00      0  23        1         0
#> 191.2 24.00      0  60        0         1
#> 67    24.00      0  25        0         0
#> 80    24.00      0  41        0         0
#> 98.1  24.00      0  34        1         0
#> 73.1  24.00      0  NA        0         1
#> 95.1  24.00      0  68        0         1
#> 172   24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 132.1 24.00      0  55        0         0
#> 163.2 24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 186   24.00      0  45        1         0
#> 33.1  24.00      0  53        0         0
#> 144   24.00      0  28        0         1
#> 141   24.00      0  44        1         0
#> 191.3 24.00      0  60        0         1
#> 2     24.00      0   9        0         0
#> 46.1  24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 17    24.00      0  38        0         1
#> 112.1 24.00      0  61        0         0
#> 103   24.00      0  56        1         0
#> 84    24.00      0  39        0         1
#> 132.2 24.00      0  55        0         0
#> 160.1 24.00      0  31        1         0
#> 33.2  24.00      0  53        0         0
#> 75.2  24.00      0  21        1         0
#> 120.1 24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 103.1 24.00      0  56        1         0
#> 115   24.00      0  NA        1         0
#> 62    24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0718          NA        NA      NA
#> 2 age, Cure model          0.000275        NA        NA      NA
#> 3 grade_ii, Cure model     0.154           NA        NA      NA
#> 4 grade_iii, Cure model    0.559           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00649        NA        NA      NA
#> 2 grade_ii, Survival model   0.210          NA        NA      NA
#> 3 grade_iii, Survival model  0.376          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.0718266         0.0002752         0.1543568         0.5589178  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254 
#> Residual Deviance: 251.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.0718265799     0.0002751754     0.1543568209     0.5589178207 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006489781      0.209806230      0.376100454 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.91394254 0.47725535 0.60449262 0.82780649 0.57014162 0.27126482
#>   [7] 0.94565046 0.53468589 0.08898050 0.69233171 0.76575523 0.67692871
#>  [13] 0.93936579 0.94565046 0.38973956 0.32653996 0.32653996 0.72970654
#>  [19] 0.90748653 0.71490142 0.42435636 0.77973276 0.96390614 0.96390614
#>  [25] 0.75863320 0.93305627 0.48745143 0.76575523 0.15764616 0.88789500
#>  [31] 0.36527672 0.87473418 0.80737552 0.84802584 0.58745828 0.82101744
#>  [37] 0.28585328 0.49747393 0.46698677 0.73701471 0.15764616 0.20998386
#>  [43] 0.74428855 0.40181291 0.36527672 0.20998386 0.86804952 0.64538131
#>  [49] 0.42435636 0.54402206 0.58745828 0.57882024 0.31292038 0.24250158
#>  [55] 0.72234297 0.44591923 0.82780649 0.35247568 0.54402206 0.80737552
#>  [61] 0.15764616 0.96390614 0.98803669 0.61296532 0.90098233 0.08898050
#>  [67] 0.54402206 0.66129125 0.78669560 0.49747393 0.52530254 0.84127459
#>  [73] 0.78669560 0.62126636 0.66129125 0.94565046 0.49747393 0.99403955
#>  [79] 0.87473418 0.45657630 0.70737728 0.04073034 0.75149186 0.98199108
#>  [85] 0.67692871 0.28585328 0.08898050 0.62126636 0.40181291 0.92672302
#>  [91] 0.64538131 0.24250158 0.80047307 0.84802584 0.69233171 0.89446653
#>  [97] 0.84802584 0.62126636 0.92035141 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    93    68   108    81    97   113    16    58    78    45   167    30   187 
#> 10.33 20.62 18.29 14.06 19.14 22.86  8.71 19.34 23.88 17.42 15.55 17.43  9.92 
#>  16.1   136   169 169.1    79    52   130   139    29    70  70.1     6   101 
#>  8.71 21.83 22.41 22.41 16.23 10.42 16.47 21.49 15.45  7.38  7.38 15.64  9.97 
#>   128 167.1   129    49    66    37   133    14     8    13    63   158   190 
#> 20.35 15.55 23.41 12.19 22.13 12.52 14.65 12.89 18.43 14.34 22.77 20.14 20.81 
#>   100 129.1    69    26   197  66.1  69.1   140   134 139.1    76   8.1   179 
#> 16.07 23.41 23.23 15.77 21.60 22.13 23.23 12.68 17.81 21.49 19.22 18.43 18.63 
#>    15    92     5    36  81.1   194  76.1 133.1 129.2  70.2    91    51    10 
#> 22.68 22.92 16.43 21.19 14.06 22.40 19.22 14.65 23.41  7.38  5.33 18.23 10.53 
#>  78.1  76.2   117   157 158.1   166   155 157.1    40 117.1  16.2 158.2   127 
#> 23.88 19.22 17.46 15.10 20.14 19.98 13.08 15.10 18.00 17.46  8.71 20.14  3.53 
#>  37.1    90    23    24   125    25  30.1  63.1  78.2  40.1 197.1   145 134.1 
#> 12.52 20.94 16.92 23.89 15.65  6.32 17.43 22.77 23.88 18.00 21.60 10.07 17.81 
#>  92.1   180  14.1  45.1    43  14.2  40.2    61    82   138    46     1   102 
#> 22.92 14.82 12.89 17.42 12.10 12.89 18.00 10.12 24.00 24.00 24.00 24.00 24.00 
#>   196    31   1.1   191   132   198   161    44   178 191.1   135   104   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22  82.1    72   200   120     9    53 102.1   109     3    98    95   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    33    64   185     7    71   148   116    35 185.1   147   152   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163 104.1 163.1   112   174    75 126.1  75.1   160   1.2 191.2    67    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1  95.1   172   142 132.1 163.2    11   186  33.1   144   141 191.3     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1   121    17 112.1   103    84 132.2 160.1  33.2  75.2 120.1   122    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1    62 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[38]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002830105               0.696791349               0.695823982 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.49937080              0.01178743             -0.05923753 
#>   grade_iii, Cure model 
#>              0.57152132 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 168   23.72      1  70        0         0
#> 68    20.62      1  44        0         0
#> 25     6.32      1  34        1         0
#> 8     18.43      1  32        0         0
#> 180   14.82      1  37        0         0
#> 99    21.19      1  38        0         1
#> 113   22.86      1  34        0         0
#> 6     15.64      1  39        0         0
#> 41    18.02      1  40        1         0
#> 97    19.14      1  65        0         1
#> 184   17.77      1  38        0         0
#> 6.1   15.64      1  39        0         0
#> 96    14.54      1  33        0         1
#> 184.1 17.77      1  38        0         0
#> 169   22.41      1  46        0         0
#> 139   21.49      1  63        1         0
#> 85    16.44      1  36        0         0
#> 59    10.16      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 76    19.22      1  54        0         1
#> 187    9.92      1  39        1         0
#> 127    3.53      1  62        0         1
#> 45    17.42      1  54        0         1
#> 77     7.27      1  67        0         1
#> 78    23.88      1  43        0         0
#> 24    23.89      1  38        0         0
#> 29    15.45      1  68        1         0
#> 5     16.43      1  51        0         1
#> 23    16.92      1  61        0         0
#> 145   10.07      1  65        1         0
#> 157   15.10      1  47        0         0
#> 55    19.34      1  69        0         1
#> 4     17.64      1  NA        0         1
#> 199   19.81      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 110   17.56      1  65        0         1
#> 187.1  9.92      1  39        1         0
#> 134   17.81      1  47        1         0
#> 164   23.60      1  76        0         1
#> 130   16.47      1  53        0         1
#> 30    17.43      1  78        0         0
#> 63.1  22.77      1  31        1         0
#> 56    12.21      1  60        0         0
#> 159   10.55      1  50        0         1
#> 93    10.33      1  52        0         1
#> 150.1 20.33      1  48        0         0
#> 6.2   15.64      1  39        0         0
#> 166   19.98      1  48        0         0
#> 179   18.63      1  42        0         0
#> 58    19.34      1  39        0         0
#> 79    16.23      1  54        1         0
#> 29.1  15.45      1  68        1         0
#> 114   13.68      1  NA        0         0
#> 10    10.53      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 81    14.06      1  34        0         0
#> 5.1   16.43      1  51        0         1
#> 177   12.53      1  75        0         0
#> 188   16.16      1  46        0         1
#> 39    15.59      1  37        0         1
#> 68.1  20.62      1  44        0         0
#> 139.1 21.49      1  63        1         0
#> 25.1   6.32      1  34        1         0
#> 16     8.71      1  71        0         1
#> 85.1  16.44      1  36        0         0
#> 192   16.44      1  31        1         0
#> 25.2   6.32      1  34        1         0
#> 195.1 11.76      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 167   15.55      1  56        1         0
#> 24.1  23.89      1  38        0         0
#> 39.1  15.59      1  37        0         1
#> 190   20.81      1  42        1         0
#> 159.1 10.55      1  50        0         1
#> 15    22.68      1  48        0         0
#> 29.2  15.45      1  68        1         0
#> 175   21.91      1  43        0         0
#> 14    12.89      1  21        0         0
#> 13    14.34      1  54        0         1
#> 108   18.29      1  39        0         1
#> 169.1 22.41      1  46        0         0
#> 13.1  14.34      1  54        0         1
#> 159.2 10.55      1  50        0         1
#> 128   20.35      1  35        0         1
#> 93.1  10.33      1  52        0         1
#> 179.1 18.63      1  42        0         0
#> 130.1 16.47      1  53        0         1
#> 40    18.00      1  28        1         0
#> 154   12.63      1  20        1         0
#> 37.1  12.52      1  57        1         0
#> 158   20.14      1  74        1         0
#> 171   16.57      1  41        0         1
#> 124    9.73      1  NA        1         0
#> 4.1   17.64      1  NA        0         1
#> 164.1 23.60      1  76        0         1
#> 68.2  20.62      1  44        0         0
#> 15.1  22.68      1  48        0         0
#> 179.2 18.63      1  42        0         0
#> 37.2  12.52      1  57        1         0
#> 150.2 20.33      1  48        0         0
#> 175.1 21.91      1  43        0         0
#> 183    9.24      1  67        1         0
#> 177.1 12.53      1  75        0         0
#> 113.1 22.86      1  34        0         0
#> 110.1 17.56      1  65        0         1
#> 197   21.60      1  69        1         0
#> 36    21.19      1  48        0         1
#> 150.3 20.33      1  48        0         0
#> 100   16.07      1  60        0         0
#> 161   24.00      0  45        0         0
#> 21    24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 144   24.00      0  28        0         1
#> 54    24.00      0  53        1         0
#> 83    24.00      0   6        0         0
#> 74    24.00      0  43        0         1
#> 83.1  24.00      0   6        0         0
#> 163   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 147   24.00      0  76        1         0
#> 47    24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 147.1 24.00      0  76        1         0
#> 185   24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 2.1   24.00      0   9        0         0
#> 71    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 182   24.00      0  35        0         0
#> 102   24.00      0  49        0         0
#> 102.1 24.00      0  49        0         0
#> 28    24.00      0  67        1         0
#> 121.1 24.00      0  57        1         0
#> 35.1  24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 119   24.00      0  17        0         0
#> 118   24.00      0  44        1         0
#> 144.1 24.00      0  28        0         1
#> 161.1 24.00      0  45        0         0
#> 48    24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 191   24.00      0  60        0         1
#> 112   24.00      0  61        0         0
#> 163.1 24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 120   24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 31    24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 152   24.00      0  36        0         1
#> 54.1  24.00      0  53        1         0
#> 73    24.00      0  NA        0         1
#> 46    24.00      0  71        0         0
#> 71.1  24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 9     24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 28.1  24.00      0  67        1         0
#> 143   24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 80.1  24.00      0  41        0         0
#> 62.1  24.00      0  71        0         0
#> 72.1  24.00      0  40        0         1
#> 71.2  24.00      0  51        0         0
#> 119.2 24.00      0  17        0         0
#> 142   24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 38    24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 74.1  24.00      0  43        0         1
#> 54.2  24.00      0  53        1         0
#> 72.2  24.00      0  40        0         1
#> 22.1  24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 67.1  24.00      0  25        0         0
#> 135.1 24.00      0  58        1         0
#> 119.3 24.00      0  17        0         0
#> 11    24.00      0  42        0         1
#> 64.1  24.00      0  43        0         0
#> 121.2 24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 35.2  24.00      0  51        0         0
#> 71.3  24.00      0  51        0         0
#> 71.4  24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 185.1 24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 198.1 24.00      0  66        0         1
#> 186   24.00      0  45        1         0
#> 182.1 24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.499         NA        NA      NA
#> 2 age, Cure model           0.0118        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0592        NA        NA      NA
#> 4 grade_iii, Cure model     0.572         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00283        NA        NA      NA
#> 2 grade_ii, Survival model   0.697          NA        NA      NA
#> 3 grade_iii, Survival model  0.696          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.49937           0.01179          -0.05924           0.57152  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 256.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.49937080       0.01178743      -0.05923753       0.57152132 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002830105      0.696791349      0.695823982 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.05959435 0.30054095 0.97229915 0.47270117 0.77766841 0.26852421
#>   [7] 0.10670084 0.68874192 0.49251887 0.43350263 0.52109819 0.68874192
#>  [13] 0.78560827 0.52109819 0.18318559 0.24569819 0.61210474 0.76181497
#>  [19] 0.42343828 0.92937200 0.99306311 0.56724925 0.96520232 0.04104357
#>  [25] 0.01347848 0.73811406 0.63800219 0.57637283 0.92204311 0.76973661
#>  [31] 0.40320622 0.13481047 0.34203286 0.68038770 0.53976931 0.92937200
#>  [37] 0.51171211 0.07929144 0.59455502 0.55801861 0.13481047 0.87014246
#>  [43] 0.87773883 0.90736575 0.34203286 0.68874192 0.39281619 0.44341320
#>  [49] 0.40320622 0.65504447 0.73811406 0.89990862 0.84758222 0.80893235
#>  [55] 0.63800219 0.83218296 0.66354135 0.71359526 0.30054095 0.24569819
#>  [61] 0.97229915 0.95099225 0.61210474 0.61210474 0.97229915 0.95099225
#>  [67] 0.72995394 0.01347848 0.71359526 0.28993984 0.87773883 0.15876088
#>  [73] 0.73811406 0.20801889 0.81670143 0.79348235 0.48269095 0.18318559
#>  [79] 0.79348235 0.87773883 0.33160965 0.90736575 0.44341320 0.59455502
#>  [85] 0.50219382 0.82447478 0.84758222 0.38246097 0.58551937 0.07929144
#>  [91] 0.30054095 0.15876088 0.44341320 0.84758222 0.34203286 0.20801889
#>  [97] 0.94379132 0.83218296 0.10670084 0.53976931 0.23319984 0.26852421
#> [103] 0.34203286 0.67195628 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   168    68    25     8   180    99   113     6    41    97   184   6.1    96 
#> 23.72 20.62  6.32 18.43 14.82 21.19 22.86 15.64 18.02 19.14 17.77 15.64 14.54 
#> 184.1   169   139    85    18    76   187   127    45    77    78    24    29 
#> 17.77 22.41 21.49 16.44 15.21 19.22  9.92  3.53 17.42  7.27 23.88 23.89 15.45 
#>     5    23   145   157    55    63   150    26   110 187.1   134   164   130 
#> 16.43 16.92 10.07 15.10 19.34 22.77 20.33 15.77 17.56  9.92 17.81 23.60 16.47 
#>    30  63.1    56   159    93 150.1   6.2   166   179    58    79  29.1    10 
#> 17.43 22.77 12.21 10.55 10.33 20.33 15.64 19.98 18.63 19.34 16.23 15.45 10.53 
#>    37    81   5.1   177   188    39  68.1 139.1  25.1    16  85.1   192  25.2 
#> 12.52 14.06 16.43 12.53 16.16 15.59 20.62 21.49  6.32  8.71 16.44 16.44  6.32 
#>  16.1   167  24.1  39.1   190 159.1    15  29.2   175    14    13   108 169.1 
#>  8.71 15.55 23.89 15.59 20.81 10.55 22.68 15.45 21.91 12.89 14.34 18.29 22.41 
#>  13.1 159.2   128  93.1 179.1 130.1    40   154  37.1   158   171 164.1  68.2 
#> 14.34 10.55 20.35 10.33 18.63 16.47 18.00 12.63 12.52 20.14 16.57 23.60 20.62 
#>  15.1 179.2  37.2 150.2 175.1   183 177.1 113.1 110.1   197    36 150.3   100 
#> 22.68 18.63 12.52 20.33 21.91  9.24 12.53 22.86 17.56 21.60 21.19 20.33 16.07 
#>   161    21    67   144    54    83    74  83.1   163     2   147    47   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.1   185    64   2.1    71    22   121    35    80   182   102 102.1    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1  35.1   200   165   198   119   118 144.1 161.1    48   191   112 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   120   146    31   132   152  54.1    46  71.1    62     9 119.1  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    72  80.1  62.1  72.1  71.2 119.2   142   135    38    44  74.1  54.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.2  22.1    20  67.1 135.1 119.3    11  64.1 121.2   176  35.2  71.3  71.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1 185.1    17   174 198.1   186 182.1   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[39]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01077708                0.90816086                0.47117527 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.523737448            -0.002025156            -0.727586571 
#>   grade_iii, Cure model 
#>             0.137859947 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 45    17.42      1  54        0         1
#> 93    10.33      1  52        0         1
#> 101    9.97      1  10        0         1
#> 68    20.62      1  44        0         0
#> 92    22.92      1  47        0         1
#> 88    18.37      1  47        0         0
#> 179   18.63      1  42        0         0
#> 6     15.64      1  39        0         0
#> 125   15.65      1  67        1         0
#> 79    16.23      1  54        1         0
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 133   14.65      1  57        0         0
#> 30    17.43      1  78        0         0
#> 136   21.83      1  43        0         1
#> 159   10.55      1  50        0         1
#> 107   11.18      1  54        1         0
#> 25     6.32      1  34        1         0
#> 25.1   6.32      1  34        1         0
#> 136.1 21.83      1  43        0         1
#> 40    18.00      1  28        1         0
#> 91     5.33      1  61        0         1
#> 134   17.81      1  47        1         0
#> 150.1 20.33      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 192   16.44      1  31        1         0
#> 155   13.08      1  26        0         0
#> 76    19.22      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 76.1  19.22      1  54        0         1
#> 56    12.21      1  60        0         0
#> 150.2 20.33      1  48        0         0
#> 78    23.88      1  43        0         0
#> 149    8.37      1  33        1         0
#> 45.1  17.42      1  54        0         1
#> 10    10.53      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 139   21.49      1  63        1         0
#> 124.1  9.73      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 139.1 21.49      1  63        1         0
#> 69    23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 77     7.27      1  67        0         1
#> 15    22.68      1  48        0         0
#> 139.2 21.49      1  63        1         0
#> 8     18.43      1  32        0         0
#> 8.1   18.43      1  32        0         0
#> 166   19.98      1  48        0         0
#> 15.1  22.68      1  48        0         0
#> 55    19.34      1  69        0         1
#> 150.3 20.33      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 168   23.72      1  70        0         0
#> 69.1  23.23      1  25        0         1
#> 30.1  17.43      1  78        0         0
#> 150.4 20.33      1  48        0         0
#> 23    16.92      1  61        0         0
#> 60    13.15      1  38        1         0
#> 49    12.19      1  48        1         0
#> 4     17.64      1  NA        0         1
#> 68.1  20.62      1  44        0         0
#> 40.1  18.00      1  28        1         0
#> 164   23.60      1  76        0         1
#> 150.5 20.33      1  48        0         0
#> 90    20.94      1  50        0         1
#> 133.1 14.65      1  57        0         0
#> 88.1  18.37      1  47        0         0
#> 8.2   18.43      1  32        0         0
#> 40.2  18.00      1  28        1         0
#> 52    10.42      1  52        0         1
#> 145   10.07      1  65        1         0
#> 70     7.38      1  30        1         0
#> 16     8.71      1  71        0         1
#> 180   14.82      1  37        0         0
#> 130   16.47      1  53        0         1
#> 29    15.45      1  68        1         0
#> 25.2   6.32      1  34        1         0
#> 169.1 22.41      1  46        0         0
#> 76.2  19.22      1  54        0         1
#> 66    22.13      1  53        0         0
#> 40.3  18.00      1  28        1         0
#> 180.1 14.82      1  37        0         0
#> 168.1 23.72      1  70        0         0
#> 127    3.53      1  62        0         1
#> 154   12.63      1  20        1         0
#> 181   16.46      1  45        0         1
#> 150.6 20.33      1  48        0         0
#> 43    12.10      1  61        0         1
#> 188   16.16      1  46        0         1
#> 93.1  10.33      1  52        0         1
#> 41    18.02      1  40        1         0
#> 37    12.52      1  57        1         0
#> 101.2  9.97      1  10        0         1
#> 89.1  11.44      1  NA        0         0
#> 29.1  15.45      1  68        1         0
#> 96    14.54      1  33        0         1
#> 108   18.29      1  39        0         1
#> 61    10.12      1  36        0         1
#> 40.4  18.00      1  28        1         0
#> 6.1   15.64      1  39        0         0
#> 66.1  22.13      1  53        0         0
#> 14    12.89      1  21        0         0
#> 42    12.43      1  49        0         1
#> 68.2  20.62      1  44        0         0
#> 43.1  12.10      1  61        0         1
#> 97    19.14      1  65        0         1
#> 108.1 18.29      1  39        0         1
#> 171   16.57      1  41        0         1
#> 175   21.91      1  43        0         0
#> 121   24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 116   24.00      0  58        0         1
#> 54    24.00      0  53        1         0
#> 198.1 24.00      0  66        0         1
#> 62    24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 138   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 126   24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 28    24.00      0  67        1         0
#> 116.1 24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 174   24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 160   24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 9.1   24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 138.1 24.00      0  44        1         0
#> 160.1 24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 173   24.00      0  19        0         1
#> 185   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 185.1 24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 137.1 24.00      0  45        1         0
#> 31    24.00      0  36        0         1
#> 19    24.00      0  57        0         1
#> 34.1  24.00      0  36        0         0
#> 47    24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 104   24.00      0  50        1         0
#> 47.1  24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 163   24.00      0  66        0         0
#> 28.1  24.00      0  67        1         0
#> 73.1  24.00      0  NA        0         1
#> 178   24.00      0  52        1         0
#> 54.1  24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 87    24.00      0  27        0         0
#> 137.2 24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 162   24.00      0  51        0         0
#> 160.2 24.00      0  31        1         0
#> 160.3 24.00      0  31        1         0
#> 162.1 24.00      0  51        0         0
#> 9.2   24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 47.2  24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 74    24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 87.1  24.00      0  27        0         0
#> 135   24.00      0  58        1         0
#> 102.1 24.00      0  49        0         0
#> 163.1 24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 27.1  24.00      0  63        1         0
#> 186.1 24.00      0  45        1         0
#> 103.2 24.00      0  56        1         0
#> 74.1  24.00      0  43        0         1
#> 34.2  24.00      0  36        0         0
#> 71    24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 186.2 24.00      0  45        1         0
#> 115   24.00      0  NA        1         0
#> 112   24.00      0  61        0         0
#> 121.1 24.00      0  57        1         0
#> 172.1 24.00      0  41        0         0
#> 143   24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 152   24.00      0  36        0         1
#> 143.1 24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 191.1 24.00      0  60        0         1
#> 193   24.00      0  45        0         1
#> 115.1 24.00      0  NA        1         0
#> 165   24.00      0  47        0         0
#> 71.1  24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.524          NA        NA      NA
#> 2 age, Cure model         -0.00203        NA        NA      NA
#> 3 grade_ii, Cure model    -0.728          NA        NA      NA
#> 4 grade_iii, Cure model    0.138          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0108        NA        NA      NA
#> 2 grade_ii, Survival model    0.908         NA        NA      NA
#> 3 grade_iii, Survival model   0.471         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.523737         -0.002025         -0.727587          0.137860  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 254.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.523737448     -0.002025156     -0.727586571      0.137859947 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01077708       0.90816086       0.47117527 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6389131517 0.4784917635 0.8421485141 0.8826834777 0.1446163593
#>   [6] 0.0338516634 0.3460927332 0.2929105244 0.5989814027 0.5889980450
#>  [11] 0.5589672342 0.1701544278 0.5789799609 0.6692430543 0.4586824382
#>  [16] 0.0949720788 0.8117391392 0.8016399569 0.9519714546 0.9519714546
#>  [21] 0.0949720788 0.4016492197 0.9806453879 0.4489110968 0.1701544278
#>  [26] 0.5390012692 0.7103045201 0.2523800207 0.8826834777 0.2523800207
#>  [31] 0.7611966328 0.1701544278 0.0008150852 0.9223193019 0.4784917635
#>  [36] 0.8218465521 0.1123961853 0.0539719909 0.1123961853 0.0221652764
#>  [41] 0.5390012692 0.9420999324 0.0403579760 0.1123961853 0.3140271440
#>  [46] 0.3140271440 0.2318658701 0.0403579760 0.2420710978 0.1701544278
#>  [51] 0.2929105244 0.0039949434 0.0221652764 0.4586824382 0.1701544278
#>  [56] 0.4983875742 0.7000829327 0.7713658982 0.1446163593 0.4016492197
#>  [61] 0.0142840123 0.1701544278 0.1361521106 0.6692430543 0.3460927332
#>  [66] 0.3140271440 0.4016492197 0.8319922460 0.8725453641 0.9322513093
#>  [71] 0.9123077739 0.6490069764 0.5186771742 0.6190089463 0.9519714546
#>  [76] 0.0539719909 0.2523800207 0.0690904948 0.4016492197 0.6490069764
#>  [81] 0.0039949434 0.9903142388 0.7308495054 0.5288378812 0.1701544278
#>  [86] 0.7814714506 0.5689714597 0.8421485141 0.3905780236 0.7409941898
#>  [91] 0.8826834777 0.6190089463 0.6897639514 0.3683702067 0.8623799940
#>  [96] 0.4016492197 0.5989814027 0.0690904948 0.7205621814 0.7510916533
#> [101] 0.1446163593 0.7814714506 0.2824351113 0.3683702067 0.5085353810
#> [106] 0.0858102286 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   157    45    93   101    68    92    88   179     6   125    79   150    26 
#> 15.10 17.42 10.33  9.97 20.62 22.92 18.37 18.63 15.64 15.65 16.23 20.33 15.77 
#>   133    30   136   159   107    25  25.1 136.1    40    91   134 150.1   192 
#> 14.65 17.43 21.83 10.55 11.18  6.32  6.32 21.83 18.00  5.33 17.81 20.33 16.44 
#>   155    76 101.1  76.1    56 150.2    78   149  45.1    10   139   169 139.1 
#> 13.08 19.22  9.97 19.22 12.21 20.33 23.88  8.37 17.42 10.53 21.49 22.41 21.49 
#>    69    85    77    15 139.2     8   8.1   166  15.1    55 150.3 179.1   168 
#> 23.23 16.44  7.27 22.68 21.49 18.43 18.43 19.98 22.68 19.34 20.33 18.63 23.72 
#>  69.1  30.1 150.4    23    60    49  68.1  40.1   164 150.5    90 133.1  88.1 
#> 23.23 17.43 20.33 16.92 13.15 12.19 20.62 18.00 23.60 20.33 20.94 14.65 18.37 
#>   8.2  40.2    52   145    70    16   180   130    29  25.2 169.1  76.2    66 
#> 18.43 18.00 10.42 10.07  7.38  8.71 14.82 16.47 15.45  6.32 22.41 19.22 22.13 
#>  40.3 180.1 168.1   127   154   181 150.6    43   188  93.1    41    37 101.2 
#> 18.00 14.82 23.72  3.53 12.63 16.46 20.33 12.10 16.16 10.33 18.02 12.52  9.97 
#>  29.1    96   108    61  40.4   6.1  66.1    14    42  68.2  43.1    97 108.1 
#> 15.45 14.54 18.29 10.12 18.00 15.64 22.13 12.89 12.43 20.62 12.10 19.14 18.29 
#>   171   175   121   198   116    54 198.1    62     2   156   138    17   126 
#> 16.57 21.91 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    28 116.1    12   174     9   137   160   119   9.1   172 138.1 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   185    72 185.1    34 137.1    31    19  34.1    47   103   104  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   163  28.1   178  54.1   102    87 137.2   151   162 160.2 160.3 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.2 103.1  47.2    27    74  12.1  87.1   135 102.1 163.1   186  27.1 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.2  74.1  34.2    71   191 186.2   112 121.1 172.1   143   144   152 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    38   161 191.1   193   165  71.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[40]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01094796                0.59246239                0.19101108 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.64498772              0.01340088              0.27576422 
#>   grade_iii, Cure model 
#>              0.47714150 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 101    9.97      1  10        0         1
#> 153   21.33      1  55        1         0
#> 60    13.15      1  38        1         0
#> 68    20.62      1  44        0         0
#> 92    22.92      1  47        0         1
#> 49    12.19      1  48        1         0
#> 92.1  22.92      1  47        0         1
#> 154   12.63      1  20        1         0
#> 127    3.53      1  62        0         1
#> 154.1 12.63      1  20        1         0
#> 139   21.49      1  63        1         0
#> 45    17.42      1  54        0         1
#> 183    9.24      1  67        1         0
#> 170   19.54      1  43        0         1
#> 197   21.60      1  69        1         0
#> 159   10.55      1  50        0         1
#> 195   11.76      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 51    18.23      1  83        0         1
#> 133   14.65      1  57        0         0
#> 90    20.94      1  50        0         1
#> 101.1  9.97      1  10        0         1
#> 66    22.13      1  53        0         0
#> 129   23.41      1  53        1         0
#> 153.1 21.33      1  55        1         0
#> 43    12.10      1  61        0         1
#> 92.2  22.92      1  47        0         1
#> 29    15.45      1  68        1         0
#> 5     16.43      1  51        0         1
#> 56    12.21      1  60        0         0
#> 85    16.44      1  36        0         0
#> 70     7.38      1  30        1         0
#> 139.1 21.49      1  63        1         0
#> 39    15.59      1  37        0         1
#> 166   19.98      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 68.1  20.62      1  44        0         0
#> 88    18.37      1  47        0         0
#> 91     5.33      1  61        0         1
#> 184   17.77      1  38        0         0
#> 63    22.77      1  31        1         0
#> 157   15.10      1  47        0         0
#> 123   13.00      1  44        1         0
#> 70.1   7.38      1  30        1         0
#> 14    12.89      1  21        0         0
#> 99    21.19      1  38        0         1
#> 168   23.72      1  70        0         0
#> 111   17.45      1  47        0         1
#> 32    20.90      1  37        1         0
#> 107   11.18      1  54        1         0
#> 133.1 14.65      1  57        0         0
#> 59    10.16      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 81    14.06      1  34        0         0
#> 90.1  20.94      1  50        0         1
#> 145   10.07      1  65        1         0
#> 85.1  16.44      1  36        0         0
#> 197.1 21.60      1  69        1         0
#> 60.1  13.15      1  38        1         0
#> 51.1  18.23      1  83        0         1
#> 37    12.52      1  57        1         0
#> 24    23.89      1  38        0         0
#> 100   16.07      1  60        0         0
#> 79    16.23      1  54        1         0
#> 149.1  8.37      1  33        1         0
#> 150   20.33      1  48        0         0
#> 69    23.23      1  25        0         1
#> 170.1 19.54      1  43        0         1
#> 58    19.34      1  39        0         0
#> 60.2  13.15      1  38        1         0
#> 6     15.64      1  39        0         0
#> 113   22.86      1  34        0         0
#> 166.1 19.98      1  48        0         0
#> 96    14.54      1  33        0         1
#> 189   10.51      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 184.1 17.77      1  38        0         0
#> 197.2 21.60      1  69        1         0
#> 190   20.81      1  42        1         0
#> 133.2 14.65      1  57        0         0
#> 10    10.53      1  34        0         0
#> 194   22.40      1  38        0         1
#> 145.1 10.07      1  65        1         0
#> 108   18.29      1  39        0         1
#> 136   21.83      1  43        0         1
#> 117   17.46      1  26        0         1
#> 117.1 17.46      1  26        0         1
#> 10.1  10.53      1  34        0         0
#> 153.2 21.33      1  55        1         0
#> 42    12.43      1  49        0         1
#> 15    22.68      1  48        0         0
#> 51.2  18.23      1  83        0         1
#> 88.1  18.37      1  47        0         0
#> 85.2  16.44      1  36        0         0
#> 13    14.34      1  54        0         1
#> 16     8.71      1  71        0         1
#> 167.1 15.55      1  56        1         0
#> 60.3  13.15      1  38        1         0
#> 168.1 23.72      1  70        0         0
#> 123.1 13.00      1  44        1         0
#> 134   17.81      1  47        1         0
#> 154.2 12.63      1  20        1         0
#> 145.2 10.07      1  65        1         0
#> 169.1 22.41      1  46        0         0
#> 170.2 19.54      1  43        0         1
#> 179   18.63      1  42        0         0
#> 60.4  13.15      1  38        1         0
#> 130   16.47      1  53        0         1
#> 195.1 11.76      1  NA        1         0
#> 56.1  12.21      1  60        0         0
#> 125   15.65      1  67        1         0
#> 140   12.68      1  59        1         0
#> 126   24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 137   24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 17    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 2     24.00      0   9        0         0
#> 94    24.00      0  51        0         1
#> 137.1 24.00      0  45        1         0
#> 21    24.00      0  47        0         0
#> 94.1  24.00      0  51        0         1
#> 126.1 24.00      0  48        0         0
#> 138   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 35    24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 44    24.00      0  56        0         0
#> 9     24.00      0  31        1         0
#> 137.2 24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 122   24.00      0  66        0         0
#> 126.2 24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 34    24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 193.1 24.00      0  45        0         1
#> 161   24.00      0  45        0         0
#> 174   24.00      0  49        1         0
#> 156   24.00      0  50        1         0
#> 95.1  24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 144.1 24.00      0  28        0         1
#> 47    24.00      0  38        0         1
#> 11    24.00      0  42        0         1
#> 112.1 24.00      0  61        0         0
#> 193.2 24.00      0  45        0         1
#> 2.1   24.00      0   9        0         0
#> 138.1 24.00      0  44        1         0
#> 2.2   24.00      0   9        0         0
#> 2.3   24.00      0   9        0         0
#> 19    24.00      0  57        0         1
#> 7.1   24.00      0  37        1         0
#> 156.1 24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 64    24.00      0  43        0         0
#> 142   24.00      0  53        0         0
#> 35.1  24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 7.2   24.00      0  37        1         0
#> 141   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 47.1  24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 144.2 24.00      0  28        0         1
#> 62    24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 185   24.00      0  44        1         0
#> 2.4   24.00      0   9        0         0
#> 75.1  24.00      0  21        1         0
#> 152   24.00      0  36        0         1
#> 3.1   24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 182.1 24.00      0  35        0         0
#> 20.1  24.00      0  46        1         0
#> 141.1 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 137.3 24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 35.2  24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 156.2 24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 185.1 24.00      0  44        1         0
#> 3.2   24.00      0  31        1         0
#> 21.1  24.00      0  47        0         0
#> 121.1 24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 46.1  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.645         NA        NA      NA
#> 2 age, Cure model           0.0134        NA        NA      NA
#> 3 grade_ii, Cure model      0.276         NA        NA      NA
#> 4 grade_iii, Cure model     0.477         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0109        NA        NA      NA
#> 2 grade_ii, Survival model    0.592         NA        NA      NA
#> 3 grade_iii, Survival model   0.191         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.6450            0.0134            0.2758            0.4771  
#> 
#> Degrees of Freedom: 195 Total (i.e. Null);  192 Residual
#> Null Deviance:	    269.7 
#> Residual Deviance: 266 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.64498772       0.01340088       0.27576422       0.47714150 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01094796       0.59246239       0.19101108 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8777023170 0.1271403087 0.6065301988 0.1880483079 0.0218728676
#>   [6] 0.7784742563 0.0218728676 0.7033647961 0.9888053145 0.7033647961
#>  [11] 0.1121549140 0.3849543713 0.8998724512 0.2287770642 0.0907049836
#>  [16] 0.8114172184 0.0557207685 0.2987897583 0.5405538405 0.1567388080
#>  [21] 0.8777023170 0.0758634707 0.0112110996 0.1271403087 0.7894167545
#>  [26] 0.0218728676 0.5191262245 0.4351264432 0.7567220521 0.4049856305
#>  [31] 0.9555893356 0.1121549140 0.4874307443 0.2121311354 0.8998724512
#>  [36] 0.1880483079 0.2716311002 0.9776593387 0.3363981603 0.0433334760
#>  [41] 0.5297964571 0.6596806429 0.9555893356 0.6813940549 0.1489877162
#>  [46] 0.0031845378 0.3750642200 0.1723087806 0.8004170815 0.5405538405
#>  [51] 0.9333642632 0.5953105441 0.1567388080 0.8445874575 0.4049856305
#>  [56] 0.0907049836 0.6065301988 0.2987897583 0.7351580983 0.0006993437
#>  [61] 0.4558533852 0.4454900623 0.9333642632 0.2039076081 0.0164663305
#>  [66] 0.2287770642 0.2539461065 0.6065301988 0.4768405230 0.0370487026
#>  [71] 0.2121311354 0.5730717278 0.4980654985 0.3363981603 0.0907049836
#>  [76] 0.1802028884 0.5405538405 0.8224622470 0.0688237551 0.8445874575
#>  [81] 0.2896003579 0.0832033163 0.3556841076 0.3556841076 0.8224622470
#>  [86] 0.1271403087 0.7459173132 0.0493681199 0.2987897583 0.2716311002
#>  [91] 0.4049856305 0.5841562318 0.9221146993 0.4980654985 0.6065301988
#>  [96] 0.0031845378 0.6596806429 0.3268029875 0.7033647961 0.8445874575
#> [101] 0.0557207685 0.2287770642 0.2627337489 0.6065301988 0.3949290490
#> [106] 0.7567220521 0.4663314177 0.6923748865 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [196] 0.0000000000
#> 
#> $Time
#>   101   153    60    68    92    49  92.1   154   127 154.1   139    45   183 
#>  9.97 21.33 13.15 20.62 22.92 12.19 22.92 12.63  3.53 12.63 21.49 17.42  9.24 
#>   170   197   159   169    51   133    90 101.1    66   129 153.1    43  92.2 
#> 19.54 21.60 10.55 22.41 18.23 14.65 20.94  9.97 22.13 23.41 21.33 12.10 22.92 
#>    29     5    56    85    70 139.1    39   166 183.1  68.1    88    91   184 
#> 15.45 16.43 12.21 16.44  7.38 21.49 15.59 19.98  9.24 20.62 18.37  5.33 17.77 
#>    63   157   123  70.1    14    99   168   111    32   107 133.1   149    81 
#> 22.77 15.10 13.00  7.38 12.89 21.19 23.72 17.45 20.90 11.18 14.65  8.37 14.06 
#>  90.1   145  85.1 197.1  60.1  51.1    37    24   100    79 149.1   150    69 
#> 20.94 10.07 16.44 21.60 13.15 18.23 12.52 23.89 16.07 16.23  8.37 20.33 23.23 
#> 170.1    58  60.2     6   113 166.1    96   167 184.1 197.2   190 133.2    10 
#> 19.54 19.34 13.15 15.64 22.86 19.98 14.54 15.55 17.77 21.60 20.81 14.65 10.53 
#>   194 145.1   108   136   117 117.1  10.1 153.2    42    15  51.2  88.1  85.2 
#> 22.40 10.07 18.29 21.83 17.46 17.46 10.53 21.33 12.43 22.68 18.23 18.37 16.44 
#>    13    16 167.1  60.3 168.1 123.1   134 154.2 145.2 169.1 170.2   179  60.4 
#> 14.34  8.71 15.55 13.15 23.72 13.00 17.81 12.63 10.07 22.41 19.54 18.63 13.15 
#>   130  56.1   125   140   126   131   173   137   121    17   112     2    94 
#> 16.47 12.21 15.65 12.68 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1    21  94.1 126.1   138    95   102    35    82    44     9 137.2   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122 126.2   144    34   120 193.1   161   174   156  95.1     7 144.1    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11 112.1 193.2   2.1 138.1   2.2   2.3    19   7.1 156.1   118    20    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142  35.1   132   7.2   141    75  47.1    48     3 161.1 144.2    62   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   109   185   2.4  75.1   152   3.1  62.1   182 182.1  20.1 141.1   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.3    33   198  35.2   162 156.2   176    65 185.1   3.2  21.1 121.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[41]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01084999                0.50155037                0.24287369 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.088206716            -0.004936251             0.443104545 
#>   grade_iii, Cure model 
#>             1.304927818 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 57    14.46      1  45        0         1
#> 81    14.06      1  34        0         0
#> 166   19.98      1  48        0         0
#> 129   23.41      1  53        1         0
#> 183    9.24      1  67        1         0
#> 66    22.13      1  53        0         0
#> 63    22.77      1  31        1         0
#> 149    8.37      1  33        1         0
#> 139   21.49      1  63        1         0
#> 155   13.08      1  26        0         0
#> 91     5.33      1  61        0         1
#> 108   18.29      1  39        0         1
#> 159   10.55      1  50        0         1
#> 190   20.81      1  42        1         0
#> 97    19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 188   16.16      1  46        0         1
#> 45    17.42      1  54        0         1
#> 92    22.92      1  47        0         1
#> 155.1 13.08      1  26        0         0
#> 101    9.97      1  10        0         1
#> 41    18.02      1  40        1         0
#> 181   16.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 60    13.15      1  38        1         0
#> 77     7.27      1  67        0         1
#> 25     6.32      1  34        1         0
#> 114   13.68      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 92.1  22.92      1  47        0         1
#> 68.1  20.62      1  44        0         0
#> 29    15.45      1  68        1         0
#> 188.1 16.16      1  46        0         1
#> 194   22.40      1  38        0         1
#> 101.1  9.97      1  10        0         1
#> 158   20.14      1  74        1         0
#> 167   15.55      1  56        1         0
#> 25.1   6.32      1  34        1         0
#> 36    21.19      1  48        0         1
#> 157   15.10      1  47        0         0
#> 128   20.35      1  35        0         1
#> 134   17.81      1  47        1         0
#> 63.1  22.77      1  31        1         0
#> 111   17.45      1  47        0         1
#> 167.1 15.55      1  56        1         0
#> 97.1  19.14      1  65        0         1
#> 76.1  19.22      1  54        0         1
#> 10    10.53      1  34        0         0
#> 183.1  9.24      1  67        1         0
#> 68.2  20.62      1  44        0         0
#> 192   16.44      1  31        1         0
#> 97.2  19.14      1  65        0         1
#> 139.1 21.49      1  63        1         0
#> 14    12.89      1  21        0         0
#> 92.2  22.92      1  47        0         1
#> 69    23.23      1  25        0         1
#> 15    22.68      1  48        0         0
#> 127    3.53      1  62        0         1
#> 184   17.77      1  38        0         0
#> 190.1 20.81      1  42        1         0
#> 139.2 21.49      1  63        1         0
#> 114.1 13.68      1  NA        0         0
#> 45.1  17.42      1  54        0         1
#> 175   21.91      1  43        0         0
#> 114.2 13.68      1  NA        0         0
#> 10.1  10.53      1  34        0         0
#> 86    23.81      1  58        0         1
#> 133   14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 79    16.23      1  54        1         0
#> 39    15.59      1  37        0         1
#> 140   12.68      1  59        1         0
#> 123.1 13.00      1  44        1         0
#> 159.1 10.55      1  50        0         1
#> 40    18.00      1  28        1         0
#> 41.1  18.02      1  40        1         0
#> 101.2  9.97      1  10        0         1
#> 88    18.37      1  47        0         0
#> 180   14.82      1  37        0         0
#> 15.1  22.68      1  48        0         0
#> 97.3  19.14      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 158.1 20.14      1  74        1         0
#> 89    11.44      1  NA        0         0
#> 164   23.60      1  76        0         1
#> 167.2 15.55      1  56        1         0
#> 149.1  8.37      1  33        1         0
#> 123.2 13.00      1  44        1         0
#> 97.4  19.14      1  65        0         1
#> 91.1   5.33      1  61        0         1
#> 124    9.73      1  NA        1         0
#> 78.1  23.88      1  43        0         0
#> 15.2  22.68      1  48        0         0
#> 39.1  15.59      1  37        0         1
#> 124.1  9.73      1  NA        1         0
#> 68.3  20.62      1  44        0         0
#> 133.1 14.65      1  57        0         0
#> 130   16.47      1  53        0         1
#> 136   21.83      1  43        0         1
#> 58    19.34      1  39        0         0
#> 153   21.33      1  55        1         0
#> 175.1 21.91      1  43        0         0
#> 81.1  14.06      1  34        0         0
#> 125   15.65      1  67        1         0
#> 105   19.75      1  60        0         0
#> 18    15.21      1  49        1         0
#> 51    18.23      1  83        0         1
#> 114.3 13.68      1  NA        0         0
#> 183.2  9.24      1  67        1         0
#> 179   18.63      1  42        0         0
#> 136.1 21.83      1  43        0         1
#> 101.3  9.97      1  10        0         1
#> 191   24.00      0  60        0         1
#> 115   24.00      0  NA        1         0
#> 165   24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 165.1 24.00      0  47        0         0
#> 141   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 71    24.00      0  51        0         0
#> 48.1  24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 119   24.00      0  17        0         0
#> 35    24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 200   24.00      0  64        0         0
#> 137   24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 172   24.00      0  41        0         0
#> 35.1  24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 137.1 24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 148   24.00      0  61        1         0
#> 104   24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 165.2 24.00      0  47        0         0
#> 131.1 24.00      0  66        0         0
#> 28.1  24.00      0  67        1         0
#> 176   24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 200.1 24.00      0  64        0         0
#> 3.1   24.00      0  31        1         0
#> 200.2 24.00      0  64        0         0
#> 87    24.00      0  27        0         0
#> 46    24.00      0  71        0         0
#> 198   24.00      0  66        0         1
#> 54    24.00      0  53        1         0
#> 21    24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 103   24.00      0  56        1         0
#> 156   24.00      0  50        1         0
#> 198.1 24.00      0  66        0         1
#> 132.1 24.00      0  55        0         0
#> 3.2   24.00      0  31        1         0
#> 132.2 24.00      0  55        0         0
#> 186.1 24.00      0  45        1         0
#> 54.1  24.00      0  53        1         0
#> 20    24.00      0  46        1         0
#> 20.1  24.00      0  46        1         0
#> 143   24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 98    24.00      0  34        1         0
#> 193   24.00      0  45        0         1
#> 131.2 24.00      0  66        0         0
#> 98.1  24.00      0  34        1         0
#> 17    24.00      0  38        0         1
#> 71.2  24.00      0  51        0         0
#> 152.1 24.00      0  36        0         1
#> 47    24.00      0  38        0         1
#> 198.2 24.00      0  66        0         1
#> 44    24.00      0  56        0         0
#> 185.1 24.00      0  44        1         0
#> 132.3 24.00      0  55        0         0
#> 174   24.00      0  49        1         0
#> 178   24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 22    24.00      0  52        1         0
#> 73    24.00      0  NA        0         1
#> 11.1  24.00      0  42        0         1
#> 162   24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 165.3 24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 80    24.00      0  41        0         0
#> 9.1   24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0882         NA        NA      NA
#> 2 age, Cure model         -0.00494        NA        NA      NA
#> 3 grade_ii, Cure model     0.443          NA        NA      NA
#> 4 grade_iii, Cure model    1.30           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0108        NA        NA      NA
#> 2 grade_ii, Survival model    0.502         NA        NA      NA
#> 3 grade_iii, Survival model   0.243         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.088207         -0.004936          0.443105          1.304928  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 249.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.088206716     -0.004936251      0.443104545      1.304927818 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01084999       0.50155037       0.24287369 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.651567697 0.662988484 0.237607120 0.018202507 0.870768622 0.085914909
#>   [7] 0.047931154 0.905777029 0.123445794 0.697396544 0.964437427 0.351404399
#>  [13] 0.777955140 0.162762280 0.283846887 0.265165409 0.498232018 0.434293159
#>  [19] 0.030611783 0.697396544 0.824777135 0.372159564 0.466020887 0.720435842
#>  [25] 0.685874531 0.929175349 0.941006633 0.178743470 0.030611783 0.178743470
#>  [31] 0.584602954 0.498232018 0.078863122 0.824777135 0.220135782 0.552229356
#>  [37] 0.941006633 0.154527038 0.606689956 0.211403927 0.403026673 0.047931154
#>  [43] 0.423801238 0.552229356 0.283846887 0.265165409 0.801260611 0.870768622
#>  [49] 0.178743470 0.476780518 0.283846887 0.123445794 0.754677488 0.030611783
#>  [55] 0.024380818 0.059785317 0.988064715 0.413369857 0.162762280 0.123445794
#>  [61] 0.434293159 0.093229447 0.801260611 0.007266532 0.629011582 0.001475204
#>  [67] 0.487496719 0.530559849 0.766304873 0.720435842 0.777955140 0.392685723
#>  [73] 0.372159564 0.824777135 0.341148200 0.617817435 0.059785317 0.283846887
#>  [79] 0.220135782 0.012187297 0.552229356 0.905777029 0.720435842 0.283846887
#>  [85] 0.964437427 0.001475204 0.059785317 0.530559849 0.178743470 0.629011582
#>  [91] 0.455315049 0.108124728 0.255848431 0.146397006 0.093229447 0.662988484
#>  [97] 0.519678060 0.246647084 0.595643417 0.361710233 0.870768622 0.331013727
#> [103] 0.108124728 0.824777135 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    57    81   166   129   183    66    63   149   139   155    91   108   159 
#> 14.46 14.06 19.98 23.41  9.24 22.13 22.77  8.37 21.49 13.08  5.33 18.29 10.55 
#>   190    97    76   188    45    92 155.1   101    41   181   123    60    77 
#> 20.81 19.14 19.22 16.16 17.42 22.92 13.08  9.97 18.02 16.46 13.00 13.15  7.27 
#>    25    68  92.1  68.1    29 188.1   194 101.1   158   167  25.1    36   157 
#>  6.32 20.62 22.92 20.62 15.45 16.16 22.40  9.97 20.14 15.55  6.32 21.19 15.10 
#>   128   134  63.1   111 167.1  97.1  76.1    10 183.1  68.2   192  97.2 139.1 
#> 20.35 17.81 22.77 17.45 15.55 19.14 19.22 10.53  9.24 20.62 16.44 19.14 21.49 
#>    14  92.2    69    15   127   184 190.1 139.2  45.1   175  10.1    86   133 
#> 12.89 22.92 23.23 22.68  3.53 17.77 20.81 21.49 17.42 21.91 10.53 23.81 14.65 
#>    78    79    39   140 123.1 159.1    40  41.1 101.2    88   180  15.1  97.3 
#> 23.88 16.23 15.59 12.68 13.00 10.55 18.00 18.02  9.97 18.37 14.82 22.68 19.14 
#> 158.1   164 167.2 149.1 123.2  97.4  91.1  78.1  15.2  39.1  68.3 133.1   130 
#> 20.14 23.60 15.55  8.37 13.00 19.14  5.33 23.88 22.68 15.59 20.62 14.65 16.47 
#>   136    58   153 175.1  81.1   125   105    18    51 183.2   179 136.1 101.3 
#> 21.83 19.34 21.33 21.91 14.06 15.65 19.75 15.21 18.23  9.24 18.63 21.83  9.97 
#>   191   165    74 165.1   141   118   131    48    33    71  48.1    62   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119    35    11   200   137    28   172  35.1  74.1   152 137.1   102   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104     3  71.1   142     9   163   186 165.2 131.1  28.1   176   185   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1   3.1 200.2    87    46   198    54    21    67   103   156 198.1 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.2 132.2 186.1  54.1    20  20.1   143   151    98   193 131.2  98.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.2 152.1    47 198.2    44 185.1 132.3   174   178   196    22  11.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112 165.3    38   161    80   9.1  33.1    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[42]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01928097                0.49745030                0.43254684 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.311509647            -0.007322429            -0.685791274 
#>   grade_iii, Cure model 
#>             1.004283888 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 88    18.37      1  47        0         0
#> 96    14.54      1  33        0         1
#> 155   13.08      1  26        0         0
#> 124    9.73      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 130   16.47      1  53        0         1
#> 36    21.19      1  48        0         1
#> 96.1  14.54      1  33        0         1
#> 42    12.43      1  49        0         1
#> 81    14.06      1  34        0         0
#> 180   14.82      1  37        0         0
#> 13    14.34      1  54        0         1
#> 57    14.46      1  45        0         1
#> 92    22.92      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 15.1  22.68      1  48        0         0
#> 194   22.40      1  38        0         1
#> 96.2  14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 78    23.88      1  43        0         0
#> 125   15.65      1  67        1         0
#> 92.1  22.92      1  47        0         1
#> 91     5.33      1  61        0         1
#> 90    20.94      1  50        0         1
#> 192   16.44      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 55    19.34      1  69        0         1
#> 6     15.64      1  39        0         0
#> 58    19.34      1  39        0         0
#> 194.1 22.40      1  38        0         1
#> 179   18.63      1  42        0         0
#> 85    16.44      1  36        0         0
#> 15.2  22.68      1  48        0         0
#> 6.1   15.64      1  39        0         0
#> 10    10.53      1  34        0         0
#> 89.1  11.44      1  NA        0         0
#> 134   17.81      1  47        1         0
#> 76    19.22      1  54        0         1
#> 68    20.62      1  44        0         0
#> 92.2  22.92      1  47        0         1
#> 63    22.77      1  31        1         0
#> 16     8.71      1  71        0         1
#> 92.3  22.92      1  47        0         1
#> 55.1  19.34      1  69        0         1
#> 159   10.55      1  50        0         1
#> 158   20.14      1  74        1         0
#> 13.1  14.34      1  54        0         1
#> 14    12.89      1  21        0         0
#> 58.1  19.34      1  39        0         0
#> 139   21.49      1  63        1         0
#> 4     17.64      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 8     18.43      1  32        0         0
#> 199   19.81      1  NA        0         1
#> 13.2  14.34      1  54        0         1
#> 55.2  19.34      1  69        0         1
#> 96.3  14.54      1  33        0         1
#> 111   17.45      1  47        0         1
#> 168   23.72      1  70        0         0
#> 58.2  19.34      1  39        0         0
#> 58.3  19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 105   19.75      1  60        0         0
#> 93    10.33      1  52        0         1
#> 5     16.43      1  51        0         1
#> 154   12.63      1  20        1         0
#> 199.1 19.81      1  NA        0         1
#> 13.3  14.34      1  54        0         1
#> 179.1 18.63      1  42        0         0
#> 164   23.60      1  76        0         1
#> 8.1   18.43      1  32        0         0
#> 166   19.98      1  48        0         0
#> 113   22.86      1  34        0         0
#> 26    15.77      1  49        0         1
#> 66    22.13      1  53        0         0
#> 92.4  22.92      1  47        0         1
#> 101    9.97      1  10        0         1
#> 42.1  12.43      1  49        0         1
#> 171   16.57      1  41        0         1
#> 167   15.55      1  56        1         0
#> 166.1 19.98      1  48        0         0
#> 184   17.77      1  38        0         0
#> 181   16.46      1  45        0         1
#> 106   16.67      1  49        1         0
#> 4.1   17.64      1  NA        0         1
#> 76.1  19.22      1  54        0         1
#> 124.1  9.73      1  NA        1         0
#> 167.1 15.55      1  56        1         0
#> 58.4  19.34      1  39        0         0
#> 106.1 16.67      1  49        1         0
#> 184.1 17.77      1  38        0         0
#> 125.1 15.65      1  67        1         0
#> 114.1 13.68      1  NA        0         0
#> 51    18.23      1  83        0         1
#> 108   18.29      1  39        0         1
#> 108.1 18.29      1  39        0         1
#> 117   17.46      1  26        0         1
#> 55.3  19.34      1  69        0         1
#> 199.2 19.81      1  NA        0         1
#> 52    10.42      1  52        0         1
#> 13.4  14.34      1  54        0         1
#> 169   22.41      1  46        0         0
#> 129   23.41      1  53        1         0
#> 51.1  18.23      1  83        0         1
#> 139.1 21.49      1  63        1         0
#> 39    15.59      1  37        0         1
#> 188.1 16.16      1  46        0         1
#> 92.5  22.92      1  47        0         1
#> 52.1  10.42      1  52        0         1
#> 105.1 19.75      1  60        0         0
#> 37    12.52      1  57        1         0
#> 141   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 172   24.00      0  41        0         0
#> 28    24.00      0  67        1         0
#> 1.1   24.00      0  23        1         0
#> 64    24.00      0  43        0         0
#> 103   24.00      0  56        1         0
#> 142   24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 44    24.00      0  56        0         0
#> 34    24.00      0  36        0         0
#> 103.1 24.00      0  56        1         0
#> 12    24.00      0  63        0         0
#> 122.1 24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 151   24.00      0  42        0         0
#> 138.1 24.00      0  44        1         0
#> 103.2 24.00      0  56        1         0
#> 135   24.00      0  58        1         0
#> 98    24.00      0  34        1         0
#> 172.1 24.00      0  41        0         0
#> 122.2 24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 22.1  24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 48    24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 173   24.00      0  19        0         1
#> 200   24.00      0  64        0         0
#> 67    24.00      0  25        0         0
#> 98.1  24.00      0  34        1         0
#> 64.1  24.00      0  43        0         0
#> 131   24.00      0  66        0         0
#> 200.1 24.00      0  64        0         0
#> 22.2  24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 200.2 24.00      0  64        0         0
#> 20    24.00      0  46        1         0
#> 17    24.00      0  38        0         1
#> 160   24.00      0  31        1         0
#> 17.1  24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 73    24.00      0  NA        0         1
#> 95    24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 48.1  24.00      0  31        1         0
#> 163.1 24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 95.1  24.00      0  68        0         1
#> 126   24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 165   24.00      0  47        0         0
#> 148.1 24.00      0  61        1         0
#> 198.1 24.00      0  66        0         1
#> 156   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 161   24.00      0  45        0         0
#> 22.3  24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 94    24.00      0  51        0         1
#> 135.1 24.00      0  58        1         0
#> 161.1 24.00      0  45        0         0
#> 9     24.00      0  31        1         0
#> 163.2 24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 72    24.00      0  40        0         1
#> 137   24.00      0  45        1         0
#> 152   24.00      0  36        0         1
#> 131.1 24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 174.1 24.00      0  49        1         0
#> 193.1 24.00      0  45        0         1
#> 84    24.00      0  39        0         1
#> 46    24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 44.1  24.00      0  56        0         0
#> 71    24.00      0  51        0         0
#> 160.1 24.00      0  31        1         0
#> 103.3 24.00      0  56        1         0
#> 176   24.00      0  43        0         1
#> 31.1  24.00      0  36        0         1
#> 80    24.00      0  41        0         0
#> 102.1 24.00      0  49        0         0
#> 35    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.312          NA        NA      NA
#> 2 age, Cure model         -0.00732        NA        NA      NA
#> 3 grade_ii, Cure model    -0.686          NA        NA      NA
#> 4 grade_iii, Cure model    1.00           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0193        NA        NA      NA
#> 2 grade_ii, Survival model    0.497         NA        NA      NA
#> 3 grade_iii, Survival model   0.433         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.311510         -0.007322         -0.685791          1.004284  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 239.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.311509647     -0.007322429     -0.685791274      1.004283888 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01928097       0.49745030       0.43254684 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.309849e-01 5.876590e-01 7.504817e-01 2.072123e-02 3.751233e-01
#>   [6] 5.479506e-02 5.876590e-01 8.146312e-01 7.346772e-01 5.730900e-01
#>  [11] 6.597242e-01 6.448138e-01 4.950162e-03 2.072123e-02 3.397007e-02
#>  [16] 5.876590e-01 9.653381e-01 2.501702e-05 4.762409e-01 4.950162e-03
#>  [21] 9.825888e-01 5.962704e-02 3.997545e-01 1.841848e-01 1.051585e-01
#>  [26] 5.030429e-01 1.051585e-01 3.397007e-02 1.931828e-01 3.997545e-01
#>  [31] 2.072123e-02 5.030429e-01 8.636758e-01 2.827518e-01 1.670844e-01
#>  [36] 6.462617e-02 4.950162e-03 1.788891e-02 9.481271e-01 4.950162e-03
#>  [41] 1.051585e-01 8.471336e-01 7.517320e-02 6.597242e-01 7.664185e-01
#>  [46] 1.051585e-01 4.585033e-02 6.985678e-02 2.116952e-01 6.597242e-01
#>  [51] 1.051585e-01 5.876590e-01 3.278741e-01 2.473415e-04 1.051585e-01
#>  [56] 1.051585e-01 4.373584e-01 9.239010e-02 9.139963e-01 4.245920e-01
#>  [61] 7.824665e-01 6.597242e-01 1.931828e-01 1.041080e-03 2.116952e-01
#>  [66] 8.072740e-02 1.509955e-02 4.630586e-01 4.158683e-02 4.950162e-03
#>  [71] 9.311041e-01 8.146312e-01 3.630522e-01 5.446857e-01 8.072740e-02
#>  [76] 2.938048e-01 3.873698e-01 3.395428e-01 1.670844e-01 5.446857e-01
#>  [81] 1.051585e-01 3.395428e-01 2.938048e-01 4.762409e-01 2.613530e-01
#>  [86] 2.410971e-01 2.410971e-01 3.163601e-01 1.051585e-01 8.803719e-01
#>  [91] 6.597242e-01 3.015946e-02 2.693995e-03 2.613530e-01 4.585033e-02
#>  [96] 5.306216e-01 4.373584e-01 4.950162e-03 8.803719e-01 9.239010e-02
#> [101] 7.984756e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    88    96   155    15   130    36  96.1    42    81   180    13    57    92 
#> 18.37 14.54 13.08 22.68 16.47 21.19 14.54 12.43 14.06 14.82 14.34 14.46 22.92 
#>  15.1   194  96.2   149    78   125  92.1    91    90   192    97    55     6 
#> 22.68 22.40 14.54  8.37 23.88 15.65 22.92  5.33 20.94 16.44 19.14 19.34 15.64 
#>    58 194.1   179    85  15.2   6.1    10   134    76    68  92.2    63    16 
#> 19.34 22.40 18.63 16.44 22.68 15.64 10.53 17.81 19.22 20.62 22.92 22.77  8.71 
#>  92.3  55.1   159   158  13.1    14  58.1   139   128     8  13.2  55.2  96.3 
#> 22.92 19.34 10.55 20.14 14.34 12.89 19.34 21.49 20.35 18.43 14.34 19.34 14.54 
#>   111   168  58.2  58.3   188   105    93     5   154  13.3 179.1   164   8.1 
#> 17.45 23.72 19.34 19.34 16.16 19.75 10.33 16.43 12.63 14.34 18.63 23.60 18.43 
#>   166   113    26    66  92.4   101  42.1   171   167 166.1   184   181   106 
#> 19.98 22.86 15.77 22.13 22.92  9.97 12.43 16.57 15.55 19.98 17.77 16.46 16.67 
#>  76.1 167.1  58.4 106.1 184.1 125.1    51   108 108.1   117  55.3    52  13.4 
#> 19.22 15.55 19.34 16.67 17.77 15.65 18.23 18.29 18.29 17.46 19.34 10.42 14.34 
#>   169   129  51.1 139.1    39 188.1  92.5  52.1 105.1    37   141   138     1 
#> 22.41 23.41 18.23 21.49 15.59 16.16 22.92 10.42 19.75 12.52 24.00 24.00 24.00 
#>   172    28   1.1    64   103   142   122   186   102    44    34 103.1    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.1    22   151 138.1 103.2   135    98 172.1 122.2     2  22.1    31    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   173   200    67  98.1  64.1   131 200.1  22.2   120   163 200.2    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   160  17.1   148    95   119  48.1 163.1    47  95.1   126   144   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1 198.1   156   147   161  22.3   193    94 135.1 161.1     9 163.2   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   137   152 131.1   116 174.1 193.1    84    46     7  44.1    71 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.3   176  31.1    80 102.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[43]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003630659               0.631443700               0.315930554 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.204187950            -0.009989028             0.404949393 
#>   grade_iii, Cure model 
#>             1.122338648 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 149    8.37      1  33        1         0
#> 171   16.57      1  41        0         1
#> 26    15.77      1  49        0         1
#> 26.1  15.77      1  49        0         1
#> 15    22.68      1  48        0         0
#> 133   14.65      1  57        0         0
#> 18    15.21      1  49        1         0
#> 184   17.77      1  38        0         0
#> 57    14.46      1  45        0         1
#> 85    16.44      1  36        0         0
#> 117   17.46      1  26        0         1
#> 140   12.68      1  59        1         0
#> 18.1  15.21      1  49        1         0
#> 13    14.34      1  54        0         1
#> 70     7.38      1  30        1         0
#> 184.1 17.77      1  38        0         0
#> 51    18.23      1  83        0         1
#> 154   12.63      1  20        1         0
#> 68    20.62      1  44        0         0
#> 177   12.53      1  75        0         0
#> 66    22.13      1  53        0         0
#> 79    16.23      1  54        1         0
#> 190   20.81      1  42        1         0
#> 92    22.92      1  47        0         1
#> 157   15.10      1  47        0         0
#> 18.2  15.21      1  49        1         0
#> 69    23.23      1  25        0         1
#> 16     8.71      1  71        0         1
#> 68.1  20.62      1  44        0         0
#> 15.1  22.68      1  48        0         0
#> 139   21.49      1  63        1         0
#> 192   16.44      1  31        1         0
#> 187    9.92      1  39        1         0
#> 42    12.43      1  49        0         1
#> 199   19.81      1  NA        0         1
#> 66.1  22.13      1  53        0         0
#> 154.1 12.63      1  20        1         0
#> 57.1  14.46      1  45        0         1
#> 194   22.40      1  38        0         1
#> 127    3.53      1  62        0         1
#> 55    19.34      1  69        0         1
#> 70.1   7.38      1  30        1         0
#> 184.2 17.77      1  38        0         0
#> 49    12.19      1  48        1         0
#> 37    12.52      1  57        1         0
#> 181   16.46      1  45        0         1
#> 88    18.37      1  47        0         0
#> 32    20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 139.1 21.49      1  63        1         0
#> 96    14.54      1  33        0         1
#> 76.1  19.22      1  54        0         1
#> 58    19.34      1  39        0         0
#> 78    23.88      1  43        0         0
#> 175   21.91      1  43        0         0
#> 129   23.41      1  53        1         0
#> 114   13.68      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 32.1  20.90      1  37        1         0
#> 50    10.02      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 78.1  23.88      1  43        0         0
#> 6.1   15.64      1  39        0         0
#> 164   23.60      1  76        0         1
#> 69.1  23.23      1  25        0         1
#> 4     17.64      1  NA        0         1
#> 194.1 22.40      1  38        0         1
#> 88.1  18.37      1  47        0         0
#> 149.1  8.37      1  33        1         0
#> 81    14.06      1  34        0         0
#> 136   21.83      1  43        0         1
#> 136.1 21.83      1  43        0         1
#> 194.2 22.40      1  38        0         1
#> 107   11.18      1  54        1         0
#> 88.2  18.37      1  47        0         0
#> 42.1  12.43      1  49        0         1
#> 14    12.89      1  21        0         0
#> 49.1  12.19      1  48        1         0
#> 42.2  12.43      1  49        0         1
#> 192.1 16.44      1  31        1         0
#> 101    9.97      1  10        0         1
#> 190.1 20.81      1  42        1         0
#> 42.3  12.43      1  49        0         1
#> 43    12.10      1  61        0         1
#> 4.1   17.64      1  NA        0         1
#> 128.1 20.35      1  35        0         1
#> 123   13.00      1  44        1         0
#> 101.1  9.97      1  10        0         1
#> 100   16.07      1  60        0         0
#> 140.1 12.68      1  59        1         0
#> 166   19.98      1  48        0         0
#> 184.3 17.77      1  38        0         0
#> 111   17.45      1  47        0         1
#> 68.2  20.62      1  44        0         0
#> 16.1   8.71      1  71        0         1
#> 194.3 22.40      1  38        0         1
#> 68.3  20.62      1  44        0         0
#> 89.1  11.44      1  NA        0         0
#> 26.2  15.77      1  49        0         1
#> 13.1  14.34      1  54        0         1
#> 49.2  12.19      1  48        1         0
#> 166.1 19.98      1  48        0         0
#> 155   13.08      1  26        0         0
#> 169   22.41      1  46        0         0
#> 171.1 16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 133.1 14.65      1  57        0         0
#> 24    23.89      1  38        0         0
#> 177.1 12.53      1  75        0         0
#> 63    22.77      1  31        1         0
#> 126   24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 116   24.00      0  58        0         1
#> 152   24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 44    24.00      0  56        0         0
#> 1     24.00      0  23        1         0
#> 82    24.00      0  34        0         0
#> 152.1 24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 142.1 24.00      0  53        0         0
#> 109   24.00      0  48        0         0
#> 64    24.00      0  43        0         0
#> 9     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 142.2 24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 95    24.00      0  68        0         1
#> 87.1  24.00      0  27        0         0
#> 152.2 24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 112   24.00      0  61        0         0
#> 2     24.00      0   9        0         0
#> 75    24.00      0  21        1         0
#> 137   24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 2.1   24.00      0   9        0         0
#> 176   24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 22    24.00      0  52        1         0
#> 162.1 24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 103   24.00      0  56        1         0
#> 44.1  24.00      0  56        0         0
#> 3     24.00      0  31        1         0
#> 152.3 24.00      0  36        0         1
#> 196.1 24.00      0  19        0         0
#> 104.1 24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 44.2  24.00      0  56        0         0
#> 74    24.00      0  43        0         1
#> 176.1 24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 119   24.00      0  17        0         0
#> 44.3  24.00      0  56        0         0
#> 116.1 24.00      0  58        0         1
#> 185   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 12    24.00      0  63        0         0
#> 109.1 24.00      0  48        0         0
#> 9.1   24.00      0  31        1         0
#> 17.1  24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 80.1  24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 109.2 24.00      0  48        0         0
#> 148.1 24.00      0  61        1         0
#> 138   24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 112.2 24.00      0  61        0         0
#> 80.2  24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 12.1  24.00      0  63        0         0
#> 83    24.00      0   6        0         0
#> 71.1  24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 35.1  24.00      0  51        0         0
#> 138.1 24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 147.2 24.00      0  76        1         0
#> 44.4  24.00      0  56        0         0
#> 200   24.00      0  64        0         0
#> 119.1 24.00      0  17        0         0
#> 185.1 24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 103.1 24.00      0  56        1         0
#> 34.1  24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.204          NA        NA      NA
#> 2 age, Cure model         -0.00999        NA        NA      NA
#> 3 grade_ii, Cure model     0.405          NA        NA      NA
#> 4 grade_iii, Cure model    1.12           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00363        NA        NA      NA
#> 2 grade_ii, Survival model   0.631          NA        NA      NA
#> 3 grade_iii, Survival model  0.316          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.204188         -0.009989          0.404949          1.122339  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 255.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.204187950     -0.009989028      0.404949393      1.122338648 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003630659      0.631443700      0.315930554 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.97071895 0.62536816 0.68830652 0.68830652 0.21838440 0.75436001
#>   [7] 0.72564647 0.57587036 0.77582237 0.64961732 0.60876389 0.83156830
#>  [13] 0.72564647 0.78990190 0.98252648 0.57587036 0.56739163 0.84501135
#>  [19] 0.42602470 0.85823935 0.30722335 0.67287350 0.40725029 0.18761928
#>  [25] 0.74713902 0.72564647 0.15529261 0.95874840 0.42602470 0.21838440
#>  [31] 0.36627773 0.64961732 0.95268549 0.87794603 0.30722335 0.84501135
#>  [37] 0.77582237 0.26035957 0.99418041 0.50722193 0.98252648 0.57587036
#>  [43] 0.90334572 0.87140384 0.64154185 0.54201471 0.38738647 0.52481103
#>  [49] 0.71069162 0.36627773 0.76867019 0.52481103 0.50722193 0.06347129
#>  [55] 0.33122103 0.13608159 0.46220817 0.38738647 0.48026670 0.06347129
#>  [61] 0.71069162 0.11265538 0.15529261 0.26035957 0.54201471 0.97071895
#>  [67] 0.80381562 0.34336975 0.34336975 0.26035957 0.92819714 0.54201471
#>  [73] 0.87794603 0.82467054 0.90334572 0.87794603 0.64961732 0.94050815
#>  [79] 0.40725029 0.87794603 0.92197507 0.46220817 0.81776820 0.94050815
#>  [85] 0.68060065 0.83156830 0.48934965 0.57587036 0.61710102 0.42602470
#>  [91] 0.95874840 0.26035957 0.42602470 0.68830652 0.78990190 0.90334572
#>  [97] 0.48934965 0.81079488 0.24618992 0.62536816 0.93436595 0.75436001
#> [103] 0.02656139 0.85823935 0.20364174 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>   149   171    26  26.1    15   133    18   184    57    85   117   140  18.1 
#>  8.37 16.57 15.77 15.77 22.68 14.65 15.21 17.77 14.46 16.44 17.46 12.68 15.21 
#>    13    70 184.1    51   154    68   177    66    79   190    92   157  18.2 
#> 14.34  7.38 17.77 18.23 12.63 20.62 12.53 22.13 16.23 20.81 22.92 15.10 15.21 
#>    69    16  68.1  15.1   139   192   187    42  66.1 154.1  57.1   194   127 
#> 23.23  8.71 20.62 22.68 21.49 16.44  9.92 12.43 22.13 12.63 14.46 22.40  3.53 
#>    55  70.1 184.2    49    37   181    88    32    76     6 139.1    96  76.1 
#> 19.34  7.38 17.77 12.19 12.52 16.46 18.37 20.90 19.22 15.64 21.49 14.54 19.22 
#>    58    78   175   129   128  32.1   150  78.1   6.1   164  69.1 194.1  88.1 
#> 19.34 23.88 21.91 23.41 20.35 20.90 20.33 23.88 15.64 23.60 23.23 22.40 18.37 
#> 149.1    81   136 136.1 194.2   107  88.2  42.1    14  49.1  42.2 192.1   101 
#>  8.37 14.06 21.83 21.83 22.40 11.18 18.37 12.43 12.89 12.19 12.43 16.44  9.97 
#> 190.1  42.3    43 128.1   123 101.1   100 140.1   166 184.3   111  68.2  16.1 
#> 20.81 12.43 12.10 20.35 13.00  9.97 16.07 12.68 19.98 17.77 17.45 20.62  8.71 
#> 194.3  68.3  26.2  13.1  49.2 166.1   155   169 171.1    93 133.1    24 177.1 
#> 22.40 20.62 15.77 14.34 12.19 19.98 13.08 22.41 16.57 10.33 14.65 23.89 12.53 
#>    63   126    87   116   152   148    44     1    82 152.1   104   142   151 
#> 22.77 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1   109    64     9    46 142.2    20    95  87.1 152.2   132   112     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   137   131   2.1   176   162   141 112.1    22 162.1   121    35   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   103  44.1     3 152.3 196.1 104.1   178  44.2    74 176.1    71    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80    17   119  44.3 116.1   185    72    12 109.1   9.1  17.1    34   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1   147 109.2 148.1   138 147.1 112.2  80.2   193  12.1    83  71.1   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1 138.1  95.1 147.2  44.4   200 119.1 185.1    19 103.1  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[44]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008106789               0.160227474              -0.009634527 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.179434717             0.003558939            -0.021110084 
#>   grade_iii, Cure model 
#>             0.502831143 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 60    13.15      1  38        1         0
#> 89    11.44      1  NA        0         0
#> 177   12.53      1  75        0         0
#> 16     8.71      1  71        0         1
#> 166   19.98      1  48        0         0
#> 150   20.33      1  48        0         0
#> 129   23.41      1  53        1         0
#> 127    3.53      1  62        0         1
#> 184   17.77      1  38        0         0
#> 169   22.41      1  46        0         0
#> 99    21.19      1  38        0         1
#> 183    9.24      1  67        1         0
#> 18    15.21      1  49        1         0
#> 190   20.81      1  42        1         0
#> 50    10.02      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 189   10.51      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 16.1   8.71      1  71        0         1
#> 130   16.47      1  53        0         1
#> 199   19.81      1  NA        0         1
#> 199.1 19.81      1  NA        0         1
#> 23    16.92      1  61        0         0
#> 70     7.38      1  30        1         0
#> 69    23.23      1  25        0         1
#> 49    12.19      1  48        1         0
#> 99.1  21.19      1  38        0         1
#> 26    15.77      1  49        0         1
#> 23.1  16.92      1  61        0         0
#> 85    16.44      1  36        0         0
#> 195   11.76      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 100   16.07      1  60        0         0
#> 183.1  9.24      1  67        1         0
#> 32    20.90      1  37        1         0
#> 91     5.33      1  61        0         1
#> 6     15.64      1  39        0         0
#> 179   18.63      1  42        0         0
#> 106   16.67      1  49        1         0
#> 51    18.23      1  83        0         1
#> 42    12.43      1  49        0         1
#> 66    22.13      1  53        0         0
#> 158   20.14      1  74        1         0
#> 91.1   5.33      1  61        0         1
#> 197   21.60      1  69        1         0
#> 25     6.32      1  34        1         0
#> 69.1  23.23      1  25        0         1
#> 37    12.52      1  57        1         0
#> 86    23.81      1  58        0         1
#> 99.2  21.19      1  38        0         1
#> 189.1 10.51      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 175   21.91      1  43        0         0
#> 106.1 16.67      1  49        1         0
#> 139.1 21.49      1  63        1         0
#> 41    18.02      1  40        1         0
#> 108   18.29      1  39        0         1
#> 100.1 16.07      1  60        0         0
#> 170.1 19.54      1  43        0         1
#> 187    9.92      1  39        1         0
#> 99.3  21.19      1  38        0         1
#> 51.1  18.23      1  83        0         1
#> 128   20.35      1  35        0         1
#> 166.1 19.98      1  48        0         0
#> 63    22.77      1  31        1         0
#> 76    19.22      1  54        0         1
#> 55    19.34      1  69        0         1
#> 183.2  9.24      1  67        1         0
#> 168   23.72      1  70        0         0
#> 29    15.45      1  68        1         0
#> 10    10.53      1  34        0         0
#> 166.2 19.98      1  48        0         0
#> 149    8.37      1  33        1         0
#> 181   16.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 180   14.82      1  37        0         0
#> 194   22.40      1  38        0         1
#> 37.1  12.52      1  57        1         0
#> 39    15.59      1  37        0         1
#> 43    12.10      1  61        0         1
#> 97    19.14      1  65        0         1
#> 50.1  10.02      1  NA        1         0
#> 149.1  8.37      1  33        1         0
#> 23.2  16.92      1  61        0         0
#> 154   12.63      1  20        1         0
#> 10.1  10.53      1  34        0         0
#> 108.1 18.29      1  39        0         1
#> 45    17.42      1  54        0         1
#> 159   10.55      1  50        0         1
#> 56    12.21      1  60        0         0
#> 56.1  12.21      1  60        0         0
#> 195.1 11.76      1  NA        1         0
#> 189.2 10.51      1  NA        1         0
#> 18.1  15.21      1  49        1         0
#> 97.1  19.14      1  65        0         1
#> 58    19.34      1  39        0         0
#> 99.4  21.19      1  38        0         1
#> 100.2 16.07      1  60        0         0
#> 10.2  10.53      1  34        0         0
#> 51.2  18.23      1  83        0         1
#> 61    10.12      1  36        0         1
#> 43.1  12.10      1  61        0         1
#> 177.1 12.53      1  75        0         0
#> 42.1  12.43      1  49        0         1
#> 134   17.81      1  47        1         0
#> 157   15.10      1  47        0         0
#> 41.1  18.02      1  40        1         0
#> 49.1  12.19      1  48        1         0
#> 66.1  22.13      1  53        0         0
#> 68    20.62      1  44        0         0
#> 199.2 19.81      1  NA        0         1
#> 63.1  22.77      1  31        1         0
#> 1     24.00      0  23        1         0
#> 74    24.00      0  43        0         1
#> 104   24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 156   24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 163   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 62    24.00      0  71        0         0
#> 135.1 24.00      0  58        1         0
#> 112   24.00      0  61        0         0
#> 75    24.00      0  21        1         0
#> 131   24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 156.1 24.00      0  50        1         0
#> 64    24.00      0  43        0         0
#> 200   24.00      0  64        0         0
#> 186   24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 122   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 148   24.00      0  61        1         0
#> 33    24.00      0  53        0         0
#> 33.1  24.00      0  53        0         0
#> 147.1 24.00      0  76        1         0
#> 112.1 24.00      0  61        0         0
#> 71    24.00      0  51        0         0
#> 75.1  24.00      0  21        1         0
#> 21    24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 146   24.00      0  63        1         0
#> 161   24.00      0  45        0         0
#> 9.1   24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 53    24.00      0  32        0         1
#> 84    24.00      0  39        0         1
#> 137   24.00      0  45        1         0
#> 19    24.00      0  57        0         1
#> 47    24.00      0  38        0         1
#> 27.1  24.00      0  63        1         0
#> 122.1 24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 19.1  24.00      0  57        0         1
#> 116   24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 19.2  24.00      0  57        0         1
#> 193   24.00      0  45        0         1
#> 47.1  24.00      0  38        0         1
#> 54.1  24.00      0  53        1         0
#> 94    24.00      0  51        0         1
#> 196   24.00      0  19        0         0
#> 3     24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 95.1  24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 54.2  24.00      0  53        1         0
#> 64.1  24.00      0  43        0         0
#> 74.1  24.00      0  43        0         1
#> 132   24.00      0  55        0         0
#> 109.1 24.00      0  48        0         0
#> 27.2  24.00      0  63        1         0
#> 53.1  24.00      0  32        0         1
#> 116.1 24.00      0  58        0         1
#> 34    24.00      0  36        0         0
#> 19.3  24.00      0  57        0         1
#> 163.1 24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 17    24.00      0  38        0         1
#> 65.1  24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 160.1 24.00      0  31        1         0
#> 104.1 24.00      0  50        1         0
#> 161.1 24.00      0  45        0         0
#> 200.1 24.00      0  64        0         0
#> 94.1  24.00      0  51        0         1
#> 11.1  24.00      0  42        0         1
#> 27.3  24.00      0  63        1         0
#> 75.2  24.00      0  21        1         0
#> 132.1 24.00      0  55        0         0
#> 165   24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.179          NA        NA      NA
#> 2 age, Cure model          0.00356        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0211         NA        NA      NA
#> 4 grade_iii, Cure model    0.503          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00811        NA        NA      NA
#> 2 grade_ii, Survival model   0.160          NA        NA      NA
#> 3 grade_iii, Survival model -0.00963        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.179435          0.003559         -0.021110          0.502831  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 256.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.179434717      0.003558939     -0.021110084      0.502831143 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008106789      0.160227474     -0.009634527 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.78043911 0.80211793 0.94335156 0.43663347 0.41568127 0.10047713
#>   [7] 0.99377929 0.61034644 0.19183869 0.30662849 0.92413082 0.74372639
#>  [13] 0.38311037 0.28196671 0.77313390 0.94335156 0.66694603 0.62706097
#>  [19] 0.96871324 0.12199849 0.85759223 0.30662849 0.71338349 0.62706097
#>  [25] 0.68274160 0.46593019 0.69058899 0.92413082 0.36107352 0.98132729
#>  [31] 0.72102510 0.53217123 0.65110748 0.55936987 0.83013821 0.22459503
#>  [37] 0.42630388 0.98132729 0.26817502 0.97503141 0.12199849 0.81623185
#>  [43] 0.03966155 0.30662849 0.36107352 0.25359361 0.65110748 0.28196671
#>  [49] 0.58500800 0.54136192 0.69058899 0.46593019 0.91753805 0.30662849
#>  [55] 0.55936987 0.40492796 0.43663347 0.15884303 0.50433107 0.48534029
#>  [61] 0.92413082 0.07453829 0.73622165 0.89114837 0.43663347 0.95607728
#>  [67] 0.67486352 0.78770371 0.76579913 0.20844012 0.81623185 0.72863672
#>  [73] 0.87109193 0.51382117 0.95607728 0.62706097 0.79492325 0.89114837
#>  [79] 0.54136192 0.61873386 0.88446233 0.84393515 0.84393515 0.74372639
#>  [85] 0.51382117 0.48534029 0.30662849 0.69058899 0.89114837 0.55936987
#>  [91] 0.91091624 0.87109193 0.80211793 0.83013821 0.60191723 0.75843971
#>  [97] 0.58500800 0.85759223 0.22459503 0.39408387 0.15884303 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    60   177    16   166   150   129   127   184   169    99   183    18   190 
#> 13.15 12.53  8.71 19.98 20.33 23.41  3.53 17.77 22.41 21.19  9.24 15.21 20.81 
#>   139    57  16.1   130    23    70    69    49  99.1    26  23.1    85   170 
#> 21.49 14.46  8.71 16.47 16.92  7.38 23.23 12.19 21.19 15.77 16.92 16.44 19.54 
#>   100 183.1    32    91     6   179   106    51    42    66   158  91.1   197 
#> 16.07  9.24 20.90  5.33 15.64 18.63 16.67 18.23 12.43 22.13 20.14  5.33 21.60 
#>    25  69.1    37    86  99.2  32.1   175 106.1 139.1    41   108 100.1 170.1 
#>  6.32 23.23 12.52 23.81 21.19 20.90 21.91 16.67 21.49 18.02 18.29 16.07 19.54 
#>   187  99.3  51.1   128 166.1    63    76    55 183.2   168    29    10 166.2 
#>  9.92 21.19 18.23 20.35 19.98 22.77 19.22 19.34  9.24 23.72 15.45 10.53 19.98 
#>   149   181   123   180   194  37.1    39    43    97 149.1  23.2   154  10.1 
#>  8.37 16.46 13.00 14.82 22.40 12.52 15.59 12.10 19.14  8.37 16.92 12.63 10.53 
#> 108.1    45   159    56  56.1  18.1  97.1    58  99.4 100.2  10.2  51.2    61 
#> 18.29 17.42 10.55 12.21 12.21 15.21 19.14 19.34 21.19 16.07 10.53 18.23 10.12 
#>  43.1 177.1  42.1   134   157  41.1  49.1  66.1    68  63.1     1    74   104 
#> 12.10 12.53 12.43 17.81 15.10 18.02 12.19 22.13 20.62 22.77 24.00 24.00 24.00 
#>    28   156    54   163   135    62 135.1   112    75   131    31 156.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200   186     9    11   122   147   148    33  33.1 147.1 112.1    71  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   160   126   146   161   9.1    27    38   109    53    84   137    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47  27.1 122.1    65 146.1     2  19.1   116    12  19.2   193  47.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   196     3    95  95.1   198  54.2  64.1  74.1   132 109.1  27.2  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1    34  19.3 163.1    48    87    17  65.1    67 160.1 104.1 161.1 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1  11.1  27.3  75.2 132.1   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[45]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01119323                0.94122791                0.19693715 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.85370540              0.01262229             -0.01119796 
#>   grade_iii, Cure model 
#>              1.41793444 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 99    21.19      1  38        0         1
#> 149    8.37      1  33        1         0
#> 134   17.81      1  47        1         0
#> 139   21.49      1  63        1         0
#> 125   15.65      1  67        1         0
#> 66    22.13      1  53        0         0
#> 189   10.51      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 36    21.19      1  48        0         1
#> 190   20.81      1  42        1         0
#> 68    20.62      1  44        0         0
#> 194.1 22.40      1  38        0         1
#> 170   19.54      1  43        0         1
#> 5     16.43      1  51        0         1
#> 49    12.19      1  48        1         0
#> 99.1  21.19      1  38        0         1
#> 127    3.53      1  62        0         1
#> 61    10.12      1  36        0         1
#> 50    10.02      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 169   22.41      1  46        0         0
#> 99.2  21.19      1  38        0         1
#> 25     6.32      1  34        1         0
#> 125.1 15.65      1  67        1         0
#> 5.1   16.43      1  51        0         1
#> 114   13.68      1  NA        0         0
#> 45    17.42      1  54        0         1
#> 85    16.44      1  36        0         0
#> 30    17.43      1  78        0         0
#> 63    22.77      1  31        1         0
#> 63.1  22.77      1  31        1         0
#> 25.1   6.32      1  34        1         0
#> 86    23.81      1  58        0         1
#> 51    18.23      1  83        0         1
#> 169.1 22.41      1  46        0         0
#> 10    10.53      1  34        0         0
#> 99.3  21.19      1  38        0         1
#> 190.1 20.81      1  42        1         0
#> 194.2 22.40      1  38        0         1
#> 60    13.15      1  38        1         0
#> 6     15.64      1  39        0         0
#> 140   12.68      1  59        1         0
#> 101    9.97      1  10        0         1
#> 108   18.29      1  39        0         1
#> 197   21.60      1  69        1         0
#> 58    19.34      1  39        0         0
#> 18    15.21      1  49        1         0
#> 8     18.43      1  32        0         0
#> 169.2 22.41      1  46        0         0
#> 180   14.82      1  37        0         0
#> 183    9.24      1  67        1         0
#> 86.1  23.81      1  58        0         1
#> 189.1 10.51      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 55    19.34      1  69        0         1
#> 105   19.75      1  60        0         0
#> 168   23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 86.2  23.81      1  58        0         1
#> 42    12.43      1  49        0         1
#> 76    19.22      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 189.2 10.51      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 69    23.23      1  25        0         1
#> 97    19.14      1  65        0         1
#> 24    23.89      1  38        0         0
#> 69.1  23.23      1  25        0         1
#> 145   10.07      1  65        1         0
#> 164   23.60      1  76        0         1
#> 114.1 13.68      1  NA        0         0
#> 50.1  10.02      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 101.1  9.97      1  10        0         1
#> 15    22.68      1  48        0         0
#> 23    16.92      1  61        0         0
#> 125.2 15.65      1  67        1         0
#> 130   16.47      1  53        0         1
#> 86.3  23.81      1  58        0         1
#> 113   22.86      1  34        0         0
#> 150   20.33      1  48        0         0
#> 61.1  10.12      1  36        0         1
#> 55.1  19.34      1  69        0         1
#> 159.1 10.55      1  50        0         1
#> 159.2 10.55      1  50        0         1
#> 60.1  13.15      1  38        1         0
#> 36.1  21.19      1  48        0         1
#> 92    22.92      1  47        0         1
#> 187    9.92      1  39        1         0
#> 101.2  9.97      1  10        0         1
#> 36.2  21.19      1  48        0         1
#> 50.2  10.02      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 190.2 20.81      1  42        1         0
#> 57    14.46      1  45        0         1
#> 180.1 14.82      1  37        0         0
#> 117   17.46      1  26        0         1
#> 68.1  20.62      1  44        0         0
#> 56    12.21      1  60        0         0
#> 149.1  8.37      1  33        1         0
#> 45.1  17.42      1  54        0         1
#> 169.3 22.41      1  46        0         0
#> 89    11.44      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 30.1  17.43      1  78        0         0
#> 168.1 23.72      1  70        0         0
#> 168.2 23.72      1  70        0         0
#> 86.4  23.81      1  58        0         1
#> 164.1 23.60      1  76        0         1
#> 188   16.16      1  46        0         1
#> 126   24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 3     24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 191   24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 3.1   24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 102   24.00      0  49        0         0
#> 82    24.00      0  34        0         0
#> 12    24.00      0  63        0         0
#> 185   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 103.1 24.00      0  56        1         0
#> 146   24.00      0  63        1         0
#> 38.1  24.00      0  31        1         0
#> 38.2  24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 160   24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 131   24.00      0  66        0         0
#> 119.1 24.00      0  17        0         0
#> 165.1 24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 103.2 24.00      0  56        1         0
#> 73    24.00      0  NA        0         1
#> 103.3 24.00      0  56        1         0
#> 3.2   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 118.1 24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 161.1 24.00      0  45        0         0
#> 137   24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 126.1 24.00      0  48        0         0
#> 131.1 24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 53    24.00      0  32        0         1
#> 65    24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 176.1 24.00      0  43        0         1
#> 118.2 24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 94    24.00      0  51        0         1
#> 131.2 24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 48.1  24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 161.2 24.00      0  45        0         0
#> 191.1 24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 174   24.00      0  49        1         0
#> 34.1  24.00      0  36        0         0
#> 3.3   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 131.3 24.00      0  66        0         0
#> 12.1  24.00      0  63        0         0
#> 143   24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 98.1  24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 21.2  24.00      0  47        0         0
#> 34.2  24.00      0  36        0         0
#> 161.3 24.00      0  45        0         0
#> 172.1 24.00      0  41        0         0
#> 102.1 24.00      0  49        0         0
#> 122   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 19.1  24.00      0  57        0         1
#> 2     24.00      0   9        0         0
#> 22.1  24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 17    24.00      0  38        0         1
#> 118.3 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.854         NA        NA      NA
#> 2 age, Cure model           0.0126        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0112        NA        NA      NA
#> 4 grade_iii, Cure model     1.42          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0112        NA        NA      NA
#> 2 grade_ii, Survival model    0.941         NA        NA      NA
#> 3 grade_iii, Survival model   0.197         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.85371           0.01262          -0.01120           1.41793  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 241.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.85370540       0.01262229      -0.01119796       1.41793444 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01119323       0.94122791       0.19693715 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.161381122 0.218126411 0.946033880 0.441061496 0.208474271 0.619868285
#>   [7] 0.188840148 0.745012944 0.218126411 0.281583787 0.309063072 0.161381122
#>  [13] 0.347825038 0.562558996 0.800860234 0.218126411 0.989195500 0.856513847
#>  [19] 0.608309323 0.127016478 0.218126411 0.967795560 0.619868285 0.562558996
#>  [25] 0.495092658 0.551175543 0.473218229 0.102390461 0.102390461 0.967795560
#>  [31] 0.009624730 0.430246305 0.127016478 0.845229060 0.218126411 0.281583787
#>  [37] 0.161381122 0.722430391 0.653513693 0.756293546 0.890348337 0.419570429
#>  [43] 0.198701771 0.357822773 0.664997947 0.408952127 0.127016478 0.676387585
#>  [49] 0.934890835 0.009624730 0.528640483 0.357822773 0.337897943 0.029586481
#>  [55] 0.811963384 0.009624730 0.778576531 0.387993756 0.767519861 0.004383623
#>  [61] 0.066284139 0.398416193 0.000949102 0.066284139 0.879044576 0.049527729
#>  [67] 0.710802156 0.890348337 0.118446076 0.517295514 0.619868285 0.539869538
#>  [73] 0.009624730 0.092744768 0.328111485 0.856513847 0.357822773 0.811963384
#>  [79] 0.811963384 0.722430391 0.218126411 0.083407051 0.923719723 0.890348337
#>  [85] 0.218126411 0.585380862 0.281583787 0.699233828 0.676387585 0.451741938
#>  [91] 0.309063072 0.789679938 0.946033880 0.495092658 0.127016478 0.462445114
#>  [97] 0.473218229 0.029586481 0.029586481 0.009624730 0.049527729 0.596815101
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   194    99   149   134   139   125    66   123    36   190    68 194.1   170 
#> 22.40 21.19  8.37 17.81 21.49 15.65 22.13 13.00 21.19 20.81 20.62 22.40 19.54 
#>     5    49  99.1   127    61    26   169  99.2    25 125.1   5.1    45    85 
#> 16.43 12.19 21.19  3.53 10.12 15.77 22.41 21.19  6.32 15.65 16.43 17.42 16.44 
#>    30    63  63.1  25.1    86    51 169.1    10  99.3 190.1 194.2    60     6 
#> 17.43 22.77 22.77  6.32 23.81 18.23 22.41 10.53 21.19 20.81 22.40 13.15 15.64 
#>   140   101   108   197    58    18     8 169.2   180   183  86.1   106    55 
#> 12.68  9.97 18.29 21.60 19.34 15.21 18.43 22.41 14.82  9.24 23.81 16.67 19.34 
#>   105   168   159  86.2    42    76   154    78    69    97    24  69.1   145 
#> 19.75 23.72 10.55 23.81 12.43 19.22 12.63 23.88 23.23 19.14 23.89 23.23 10.07 
#>   164    81 101.1    15    23 125.2   130  86.3   113   150  61.1  55.1 159.1 
#> 23.60 14.06  9.97 22.68 16.92 15.65 16.47 23.81 22.86 20.33 10.12 19.34 10.55 
#> 159.2  60.1  36.1    92   187 101.2  36.2    79 190.2    57 180.1   117  68.1 
#> 10.55 13.15 21.19 22.92  9.92  9.97 21.19 16.23 20.81 14.46 14.82 17.46 20.62 
#>    56 149.1  45.1 169.3   111  30.1 168.1 168.2  86.4 164.1   188   126   103 
#> 12.21  8.37 17.42 22.41 17.45 17.43 23.72 23.72 23.81 23.60 16.16 24.00 24.00 
#>    38    22     3   165   118    46    19   191   161   3.1    34   102    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   185    47   156    33 103.1   146  38.1  38.2   119   160   176   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1 165.1    84 103.2 103.3   3.2     1 118.1    48   138 161.1   137   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.1 131.1    11    53    65 146.1   142 176.1 118.2    54    94 131.2    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1   152    21  21.1 161.2 191.1   116   174  34.1   3.3   104   121   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.3  12.1   143 143.1   173  98.1   196  21.2  34.2 161.3 172.1 102.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147  19.1     2  22.1    64    17 118.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[46]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003905245               0.833196913               0.354140315 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.09704164              0.01501667              0.64116175 
#>   grade_iii, Cure model 
#>              1.05084423 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 171   16.57      1  41        0         1
#> 134   17.81      1  47        1         0
#> 190   20.81      1  42        1         0
#> 192   16.44      1  31        1         0
#> 26    15.77      1  49        0         1
#> 150   20.33      1  48        0         0
#> 125   15.65      1  67        1         0
#> 110   17.56      1  65        0         1
#> 4     17.64      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 184   17.77      1  38        0         0
#> 43    12.10      1  61        0         1
#> 5     16.43      1  51        0         1
#> 25     6.32      1  34        1         0
#> 51    18.23      1  83        0         1
#> 184.1 17.77      1  38        0         0
#> 139   21.49      1  63        1         0
#> 10    10.53      1  34        0         0
#> 15    22.68      1  48        0         0
#> 106   16.67      1  49        1         0
#> 79    16.23      1  54        1         0
#> 29    15.45      1  68        1         0
#> 169   22.41      1  46        0         0
#> 42    12.43      1  49        0         1
#> 59    10.16      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 51.1  18.23      1  83        0         1
#> 195   11.76      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 164   23.60      1  76        0         1
#> 107   11.18      1  54        1         0
#> 197   21.60      1  69        1         0
#> 153   21.33      1  55        1         0
#> 97    19.14      1  65        0         1
#> 63    22.77      1  31        1         0
#> 124    9.73      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 123   13.00      1  44        1         0
#> 51.2  18.23      1  83        0         1
#> 125.1 15.65      1  67        1         0
#> 130   16.47      1  53        0         1
#> 41    18.02      1  40        1         0
#> 69    23.23      1  25        0         1
#> 15.1  22.68      1  48        0         0
#> 195.1 11.76      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 41.1  18.02      1  40        1         0
#> 90    20.94      1  50        0         1
#> 187    9.92      1  39        1         0
#> 96    14.54      1  33        0         1
#> 5.1   16.43      1  51        0         1
#> 18    15.21      1  49        1         0
#> 69.1  23.23      1  25        0         1
#> 49    12.19      1  48        1         0
#> 5.2   16.43      1  51        0         1
#> 99    21.19      1  38        0         1
#> 16     8.71      1  71        0         1
#> 117   17.46      1  26        0         1
#> 55    19.34      1  69        0         1
#> 145   10.07      1  65        1         0
#> 4.1   17.64      1  NA        0         1
#> 157   15.10      1  47        0         0
#> 189   10.51      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 175   21.91      1  43        0         0
#> 113   22.86      1  34        0         0
#> 187.1  9.92      1  39        1         0
#> 60.1  13.15      1  38        1         0
#> 6     15.64      1  39        0         0
#> 175.1 21.91      1  43        0         0
#> 164.1 23.60      1  76        0         1
#> 171.1 16.57      1  41        0         1
#> 108   18.29      1  39        0         1
#> 129   23.41      1  53        1         0
#> 37    12.52      1  57        1         0
#> 69.2  23.23      1  25        0         1
#> 41.2  18.02      1  40        1         0
#> 166   19.98      1  48        0         0
#> 181   16.46      1  45        0         1
#> 110.1 17.56      1  65        0         1
#> 168   23.72      1  70        0         0
#> 167   15.55      1  56        1         0
#> 157.1 15.10      1  47        0         0
#> 134.1 17.81      1  47        1         0
#> 77     7.27      1  67        0         1
#> 180   14.82      1  37        0         0
#> 187.2  9.92      1  39        1         0
#> 168.1 23.72      1  70        0         0
#> 106.1 16.67      1  49        1         0
#> 23    16.92      1  61        0         0
#> 39    15.59      1  37        0         1
#> 78    23.88      1  43        0         0
#> 63.1  22.77      1  31        1         0
#> 154   12.63      1  20        1         0
#> 134.2 17.81      1  47        1         0
#> 110.2 17.56      1  65        0         1
#> 128   20.35      1  35        0         1
#> 187.3  9.92      1  39        1         0
#> 188   16.16      1  46        0         1
#> 111   17.45      1  47        0         1
#> 37.1  12.52      1  57        1         0
#> 99.1  21.19      1  38        0         1
#> 18.1  15.21      1  49        1         0
#> 58    19.34      1  39        0         0
#> 60.2  13.15      1  38        1         0
#> 136   21.83      1  43        0         1
#> 29.1  15.45      1  68        1         0
#> 76    19.22      1  54        0         1
#> 57    14.46      1  45        0         1
#> 189.1 10.51      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 58.1  19.34      1  39        0         0
#> 193   24.00      0  45        0         1
#> 34    24.00      0  36        0         0
#> 196   24.00      0  19        0         0
#> 102   24.00      0  49        0         0
#> 182   24.00      0  35        0         0
#> 11    24.00      0  42        0         1
#> 186   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 1     24.00      0  23        1         0
#> 48    24.00      0  31        1         0
#> 186.1 24.00      0  45        1         0
#> 3     24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 141   24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 33    24.00      0  53        0         0
#> 143   24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 126   24.00      0  48        0         0
#> 11.1  24.00      0  42        0         1
#> 62    24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 131   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 147   24.00      0  76        1         0
#> 173   24.00      0  19        0         1
#> 33.1  24.00      0  53        0         0
#> 121   24.00      0  57        1         0
#> 156   24.00      0  50        1         0
#> 156.1 24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 17    24.00      0  38        0         1
#> 17.1  24.00      0  38        0         1
#> 33.2  24.00      0  53        0         0
#> 143.1 24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 178   24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 152.1 24.00      0  36        0         1
#> 74.1  24.00      0  43        0         1
#> 102.1 24.00      0  49        0         0
#> 103   24.00      0  56        1         0
#> 156.2 24.00      0  50        1         0
#> 141.1 24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 161   24.00      0  45        0         0
#> 120   24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 82    24.00      0  34        0         0
#> 11.2  24.00      0  42        0         1
#> 142   24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 53    24.00      0  32        0         1
#> 73    24.00      0  NA        0         1
#> 146   24.00      0  63        1         0
#> 54.1  24.00      0  53        1         0
#> 20.1  24.00      0  46        1         0
#> 182.1 24.00      0  35        0         0
#> 182.2 24.00      0  35        0         0
#> 22    24.00      0  52        1         0
#> 62.1  24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 172.1 24.00      0  41        0         0
#> 27    24.00      0  63        1         0
#> 74.2  24.00      0  43        0         1
#> 172.2 24.00      0  41        0         0
#> 3.1   24.00      0  31        1         0
#> 102.2 24.00      0  49        0         0
#> 72    24.00      0  40        0         1
#> 144.1 24.00      0  28        0         1
#> 115   24.00      0  NA        1         0
#> 198   24.00      0  66        0         1
#> 11.3  24.00      0  42        0         1
#> 132.1 24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 27.1  24.00      0  63        1         0
#> 27.2  24.00      0  63        1         0
#> 94    24.00      0  51        0         1
#> 9     24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 71    24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.10          NA        NA      NA
#> 2 age, Cure model           0.0150        NA        NA      NA
#> 3 grade_ii, Cure model      0.641         NA        NA      NA
#> 4 grade_iii, Cure model     1.05          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00391        NA        NA      NA
#> 2 grade_ii, Survival model   0.833          NA        NA      NA
#> 3 grade_iii, Survival model  0.354          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.09704           0.01502           0.64116           1.05084  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 251.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.09704164       0.01501667       0.64116175       1.05084423 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003905245      0.833196913      0.354140315 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.612042316 0.495193564 0.333819358 0.646992213 0.705976683 0.354473827
#>   [7] 0.714316199 0.540336079 0.893096952 0.522131926 0.907802846 0.655612139
#>  [13] 0.993058977 0.436727620 0.522131926 0.279784459 0.929647991 0.197043979
#>  [19] 0.594490462 0.680968097 0.755100533 0.220228375 0.885729482 0.680968097
#>  [25] 0.436727620 0.025803368 0.075646278 0.915121294 0.268112818 0.291079783
#>  [31] 0.416069542 0.174319138 0.825723299 0.855989273 0.436727620 0.714316199
#>  [37] 0.629487088 0.466845106 0.123389162 0.197043979 0.922389567 0.466845106
#>  [43] 0.323138637 0.951374191 0.810046662 0.655612139 0.770969358 0.123389162
#>  [49] 0.900477139 0.655612139 0.302012077 0.979072978 0.567268942 0.375206074
#>  [55] 0.944165560 0.786549594 0.848366700 0.232249939 0.160648592 0.951374191
#>  [61] 0.825723299 0.730606344 0.232249939 0.075646278 0.612042316 0.426426551
#>  [67] 0.107971035 0.871034307 0.123389162 0.466845106 0.364814769 0.638251370
#>  [73] 0.540336079 0.042741010 0.746993118 0.786549594 0.495193564 0.986068380
#>  [79] 0.802181763 0.951374191 0.042741010 0.594490462 0.585405608 0.738810327
#>  [85] 0.007906273 0.174319138 0.863548741 0.495193564 0.540336079 0.344184213
#>  [91] 0.951374191 0.697619717 0.576350543 0.871034307 0.302012077 0.770969358
#>  [97] 0.375206074 0.825723299 0.256043476 0.755100533 0.405685277 0.817892316
#> [103] 0.936913470 0.375206074 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   171   134   190   192    26   150   125   110    56   184    43     5    25 
#> 16.57 17.81 20.81 16.44 15.77 20.33 15.65 17.56 12.21 17.77 12.10 16.43  6.32 
#>    51 184.1   139    10    15   106    79    29   169    42  79.1  51.1    86 
#> 18.23 17.77 21.49 10.53 22.68 16.67 16.23 15.45 22.41 12.43 16.23 18.23 23.81 
#>   164   107   197   153    97    63    60   123  51.2 125.1   130    41    69 
#> 23.60 11.18 21.60 21.33 19.14 22.77 13.15 13.00 18.23 15.65 16.47 18.02 23.23 
#>  15.1   159  41.1    90   187    96   5.1    18  69.1    49   5.2    99    16 
#> 22.68 10.55 18.02 20.94  9.92 14.54 16.43 15.21 23.23 12.19 16.43 21.19  8.71 
#>   117    55   145   157   155   175   113 187.1  60.1     6 175.1 164.1 171.1 
#> 17.46 19.34 10.07 15.10 13.08 21.91 22.86  9.92 13.15 15.64 21.91 23.60 16.57 
#>   108   129    37  69.2  41.2   166   181 110.1   168   167 157.1 134.1    77 
#> 18.29 23.41 12.52 23.23 18.02 19.98 16.46 17.56 23.72 15.55 15.10 17.81  7.27 
#>   180 187.2 168.1 106.1    23    39    78  63.1   154 134.2 110.2   128 187.3 
#> 14.82  9.92 23.72 16.67 16.92 15.59 23.88 22.77 12.63 17.81 17.56 20.35  9.92 
#>   188   111  37.1  99.1  18.1    58  60.2   136  29.1    76    57    61  58.1 
#> 16.16 17.45 12.52 21.19 15.21 19.34 13.15 21.83 15.45 19.22 14.46 10.12 19.34 
#>   193    34   196   102   182    11   186   116     1    48 186.1     3    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   1.1    33   143  34.1   126  11.1    62   152   131   138   160 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   147   173  33.1   121   156 156.1   109   132    17  17.1  33.2 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   178    87 152.1  74.1 102.1   103 156.2 141.1   172    54   161   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    82  11.2   142   165   144    53   146  54.1  20.1 182.1 182.2    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.1   135 172.1    27  74.2 172.2   3.1 102.2    72 144.1   198  11.3 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148  27.1  27.2    94     9    75    71    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[47]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01430785                0.28944944                0.57871947 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.69339433              0.00801881              0.36136856 
#>   grade_iii, Cure model 
#>              1.03483250 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 184   17.77      1  38        0         0
#> 181   16.46      1  45        0         1
#> 129   23.41      1  53        1         0
#> 153   21.33      1  55        1         0
#> 180   14.82      1  37        0         0
#> 97    19.14      1  65        0         1
#> 181.1 16.46      1  45        0         1
#> 111   17.45      1  47        0         1
#> 16     8.71      1  71        0         1
#> 139   21.49      1  63        1         0
#> 93    10.33      1  52        0         1
#> 58    19.34      1  39        0         0
#> 150   20.33      1  48        0         0
#> 91     5.33      1  61        0         1
#> 158   20.14      1  74        1         0
#> 97.1  19.14      1  65        0         1
#> 30    17.43      1  78        0         0
#> 96    14.54      1  33        0         1
#> 199   19.81      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 13    14.34      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 24    23.89      1  38        0         0
#> 113   22.86      1  34        0         0
#> 25     6.32      1  34        1         0
#> 43    12.10      1  61        0         1
#> 105   19.75      1  60        0         0
#> 150.1 20.33      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 60    13.15      1  38        1         0
#> 57    14.46      1  45        0         1
#> 4.1   17.64      1  NA        0         1
#> 16.1   8.71      1  71        0         1
#> 24.1  23.89      1  38        0         0
#> 60.1  13.15      1  38        1         0
#> 39    15.59      1  37        0         1
#> 92    22.92      1  47        0         1
#> 123   13.00      1  44        1         0
#> 155   13.08      1  26        0         0
#> 23    16.92      1  61        0         0
#> 4.2   17.64      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 194   22.40      1  38        0         1
#> 15    22.68      1  48        0         0
#> 63    22.77      1  31        1         0
#> 43.1  12.10      1  61        0         1
#> 43.2  12.10      1  61        0         1
#> 69    23.23      1  25        0         1
#> 134   17.81      1  47        1         0
#> 108   18.29      1  39        0         1
#> 61    10.12      1  36        0         1
#> 100   16.07      1  60        0         0
#> 69.1  23.23      1  25        0         1
#> 111.1 17.45      1  47        0         1
#> 26    15.77      1  49        0         1
#> 170   19.54      1  43        0         1
#> 168   23.72      1  70        0         0
#> 90    20.94      1  50        0         1
#> 60.2  13.15      1  38        1         0
#> 158.1 20.14      1  74        1         0
#> 159   10.55      1  50        0         1
#> 63.1  22.77      1  31        1         0
#> 55    19.34      1  69        0         1
#> 128   20.35      1  35        0         1
#> 39.1  15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 195   11.76      1  NA        1         0
#> 159.1 10.55      1  50        0         1
#> 159.2 10.55      1  50        0         1
#> 107   11.18      1  54        1         0
#> 63.2  22.77      1  31        1         0
#> 16.2   8.71      1  71        0         1
#> 158.2 20.14      1  74        1         0
#> 29    15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 58.1  19.34      1  39        0         0
#> 30.1  17.43      1  78        0         0
#> 123.1 13.00      1  44        1         0
#> 136   21.83      1  43        0         1
#> 43.3  12.10      1  61        0         1
#> 97.2  19.14      1  65        0         1
#> 70     7.38      1  30        1         0
#> 49    12.19      1  48        1         0
#> 45    17.42      1  54        0         1
#> 68    20.62      1  44        0         0
#> 68.1  20.62      1  44        0         0
#> 97.3  19.14      1  65        0         1
#> 23.1  16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 56.1  12.21      1  60        0         0
#> 155.1 13.08      1  26        0         0
#> 195.1 11.76      1  NA        1         0
#> 181.2 16.46      1  45        0         1
#> 170.1 19.54      1  43        0         1
#> 63.3  22.77      1  31        1         0
#> 78    23.88      1  43        0         0
#> 25.1   6.32      1  34        1         0
#> 59    10.16      1  NA        1         0
#> 58.2  19.34      1  39        0         0
#> 189   10.51      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 39.2  15.59      1  37        0         1
#> 90.1  20.94      1  50        0         1
#> 129.1 23.41      1  53        1         0
#> 45.1  17.42      1  54        0         1
#> 167.1 15.55      1  56        1         0
#> 171   16.57      1  41        0         1
#> 86    23.81      1  58        0         1
#> 30.2  17.43      1  78        0         0
#> 166   19.98      1  48        0         0
#> 59.1  10.16      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 148   24.00      0  61        1         0
#> 185   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 71    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 65    24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 198   24.00      0  66        0         1
#> 142   24.00      0  53        0         0
#> 71.1  24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 54    24.00      0  53        1         0
#> 72    24.00      0  40        0         1
#> 161   24.00      0  45        0         0
#> 193   24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 143   24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 104   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 162.1 24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 193.1 24.00      0  45        0         1
#> 118   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 165.1 24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 17    24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 62    24.00      0  71        0         0
#> 131   24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 103   24.00      0  56        1         0
#> 116   24.00      0  58        0         1
#> 191   24.00      0  60        0         1
#> 165.2 24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 132.1 24.00      0  55        0         0
#> 54.1  24.00      0  53        1         0
#> 62.1  24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 62.2  24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 72.1  24.00      0  40        0         1
#> 156   24.00      0  50        1         0
#> 173.1 24.00      0  19        0         1
#> 126   24.00      0  48        0         0
#> 1.1   24.00      0  23        1         0
#> 9     24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 193.2 24.00      0  45        0         1
#> 71.2  24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 9.1   24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 44.1  24.00      0  56        0         0
#> 119.1 24.00      0  17        0         0
#> 162.2 24.00      0  51        0         0
#> 104.1 24.00      0  50        1         0
#> 19.1  24.00      0  57        0         1
#> 95    24.00      0  68        0         1
#> 198.1 24.00      0  66        0         1
#> 115.1 24.00      0  NA        1         0
#> 142.1 24.00      0  53        0         0
#> 19.2  24.00      0  57        0         1
#> 198.2 24.00      0  66        0         1
#> 178.1 24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 62.3  24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 71.3  24.00      0  51        0         0
#> 193.3 24.00      0  45        0         1
#> 104.2 24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 102   24.00      0  49        0         0
#> 44.2  24.00      0  56        0         0
#> 119.2 24.00      0  17        0         0
#> 142.2 24.00      0  53        0         0
#> 151.1 24.00      0  42        0         0
#> 9.2   24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 141   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.693          NA        NA      NA
#> 2 age, Cure model          0.00802        NA        NA      NA
#> 3 grade_ii, Cure model     0.361          NA        NA      NA
#> 4 grade_iii, Cure model    1.03           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0143        NA        NA      NA
#> 2 grade_ii, Survival model    0.289         NA        NA      NA
#> 3 grade_iii, Survival model   0.579         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.693394          0.008019          0.361369          1.034832  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 248.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.69339433       0.00801881       0.36136856       1.03483250 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01430785       0.28944944       0.57871947 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7641008 0.8229533 0.3450041 0.5556402 0.8738486 0.7157286 0.8229533
#>   [8] 0.7699653 0.9764784 0.5441859 0.9693822 0.6880540 0.6150829 0.9966850
#>  [15] 0.6331968 0.7157286 0.7812233 0.8782493 0.9241584 0.8869183 0.1322836
#>  [22] 0.4374730 0.9899933 0.9361588 0.6652718 0.6150829 0.8911682 0.8826093
#>  [29] 0.9764784 0.1322836 0.8911682 0.8468775 0.4212156 0.9119167 0.9036264
#>  [36] 0.8077145 0.8605080 0.5194569 0.5060852 0.4533605 0.9361588 0.9361588
#>  [43] 0.3860060 0.7582037 0.7462117 0.9729431 0.8373614 0.3860060 0.7699653
#>  [50] 0.8421543 0.6731628 0.3176540 0.5666554 0.8911682 0.6331968 0.9549221
#>  [57] 0.4533605 0.6880540 0.6056830 0.8468775 0.7522314 0.9549221 0.9549221
#>  [64] 0.9511740 0.4533605 0.9764784 0.6331968 0.8694325 0.7400874 0.6880540
#>  [71] 0.7812233 0.9119167 0.5321515 0.9361588 0.7157286 0.9866150 0.9321718
#>  [78] 0.7973371 0.5864537 0.5864537 0.7157286 0.8077145 0.9200950 0.9241584
#>  [85] 0.9036264 0.8229533 0.6731628 0.4533605 0.2364047 0.9899933 0.6880540
#>  [92] 0.9657849 0.8468775 0.5666554 0.3450041 0.7973371 0.8605080 0.8179094
#>  [99] 0.2855477 0.7812233 0.6572515 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   184   181   129   153   180    97 181.1   111    16   139    93    58   150 
#> 17.77 16.46 23.41 21.33 14.82 19.14 16.46 17.45  8.71 21.49 10.33 19.34 20.33 
#>    91   158  97.1    30    96    56    13    24   113    25    43   105 150.1 
#>  5.33 20.14 19.14 17.43 14.54 12.21 14.34 23.89 22.86  6.32 12.10 19.75 20.33 
#>    60    57  16.1  24.1  60.1    39    92   123   155    23   167   194    15 
#> 13.15 14.46  8.71 23.89 13.15 15.59 22.92 13.00 13.08 16.92 15.55 22.40 22.68 
#>    63  43.1  43.2    69   134   108    61   100  69.1 111.1    26   170   168 
#> 22.77 12.10 12.10 23.23 17.81 18.29 10.12 16.07 23.23 17.45 15.77 19.54 23.72 
#>    90  60.2 158.1   159  63.1    55   128  39.1    40 159.1 159.2   107  63.2 
#> 20.94 13.15 20.14 10.55 22.77 19.34 20.35 15.59 18.00 10.55 10.55 11.18 22.77 
#>  16.2 158.2    29   179  58.1  30.1 123.1   136  43.3  97.2    70    49    45 
#>  8.71 20.14 15.45 18.63 19.34 17.43 13.00 21.83 12.10 19.14  7.38 12.19 17.42 
#>    68  68.1  97.3  23.1   177  56.1 155.1 181.2 170.1  63.3    78  25.1  58.2 
#> 20.62 20.62 19.14 16.92 12.53 12.21 13.08 16.46 19.54 22.77 23.88  6.32 19.34 
#>    52  39.2  90.1 129.1  45.1 167.1   171    86  30.2   166   148   185   151 
#> 10.42 15.59 20.94 23.41 17.42 15.55 16.57 23.81 17.43 19.98 24.00 24.00 24.00 
#>    71     1    65    27   198   142  71.1   132    54    72   161   193    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   112   104   160   162    44 162.1     2 193.1   118   165   176 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144    17    62   131 131.1    19   103   116   191 165.2   178    87 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1  62.1   173  62.2   120  72.1   156 173.1   126   1.1     9   146 193.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.2    11   9.1   119  44.1 119.1 162.2 104.1  19.1    95 198.1 142.1  19.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.2 178.1   122  62.3   135  71.3 193.3 104.2    83   102  44.2 119.2 142.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1   9.2    38 102.1   141 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[48]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0004122621              0.5614254849              0.1068093655 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.05648327              0.02172498             -0.06311478 
#>   grade_iii, Cure model 
#>              0.70405142 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 169   22.41      1  46        0         0
#> 139   21.49      1  63        1         0
#> 57    14.46      1  45        0         1
#> 195   11.76      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 29    15.45      1  68        1         0
#> 139.1 21.49      1  63        1         0
#> 18    15.21      1  49        1         0
#> 29.1  15.45      1  68        1         0
#> 66    22.13      1  53        0         0
#> 91     5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 41    18.02      1  40        1         0
#> 10    10.53      1  34        0         0
#> 117   17.46      1  26        0         1
#> 6.1   15.64      1  39        0         0
#> 41.1  18.02      1  40        1         0
#> 37    12.52      1  57        1         0
#> 145   10.07      1  65        1         0
#> 108   18.29      1  39        0         1
#> 59    10.16      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 69    23.23      1  25        0         1
#> 52    10.42      1  52        0         1
#> 140   12.68      1  59        1         0
#> 111   17.45      1  47        0         1
#> 169.1 22.41      1  46        0         0
#> 59.1  10.16      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 149    8.37      1  33        1         0
#> 199   19.81      1  NA        0         1
#> 180   14.82      1  37        0         0
#> 50    10.02      1  NA        1         0
#> 117.1 17.46      1  26        0         1
#> 105   19.75      1  60        0         0
#> 97    19.14      1  65        0         1
#> 56    12.21      1  60        0         0
#> 108.1 18.29      1  39        0         1
#> 56.1  12.21      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 188.1 16.16      1  46        0         1
#> 79    16.23      1  54        1         0
#> 93    10.33      1  52        0         1
#> 69.1  23.23      1  25        0         1
#> 58    19.34      1  39        0         0
#> 153   21.33      1  55        1         0
#> 189.1 10.51      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 37.1  12.52      1  57        1         0
#> 169.2 22.41      1  46        0         0
#> 189.2 10.51      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 164   23.60      1  76        0         1
#> 99    21.19      1  38        0         1
#> 125   15.65      1  67        1         0
#> 55    19.34      1  69        0         1
#> 41.2  18.02      1  40        1         0
#> 52.1  10.42      1  52        0         1
#> 92    22.92      1  47        0         1
#> 39    15.59      1  37        0         1
#> 60    13.15      1  38        1         0
#> 32    20.90      1  37        1         0
#> 37.2  12.52      1  57        1         0
#> 76    19.22      1  54        0         1
#> 10.1  10.53      1  34        0         0
#> 192   16.44      1  31        1         0
#> 61    10.12      1  36        0         1
#> 97.1  19.14      1  65        0         1
#> 60.1  13.15      1  38        1         0
#> 41.3  18.02      1  40        1         0
#> 100   16.07      1  60        0         0
#> 128   20.35      1  35        0         1
#> 88.2  18.37      1  47        0         0
#> 130   16.47      1  53        0         1
#> 105.1 19.75      1  60        0         0
#> 149.1  8.37      1  33        1         0
#> 99.1  21.19      1  38        0         1
#> 171   16.57      1  41        0         1
#> 187    9.92      1  39        1         0
#> 24    23.89      1  38        0         0
#> 169.3 22.41      1  46        0         0
#> 66.1  22.13      1  53        0         0
#> 10.2  10.53      1  34        0         0
#> 183    9.24      1  67        1         0
#> 192.1 16.44      1  31        1         0
#> 145.1 10.07      1  65        1         0
#> 86    23.81      1  58        0         1
#> 81    14.06      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 129   23.41      1  53        1         0
#> 26    15.77      1  49        0         1
#> 111.1 17.45      1  47        0         1
#> 26.1  15.77      1  49        0         1
#> 117.2 17.46      1  26        0         1
#> 76.1  19.22      1  54        0         1
#> 128.1 20.35      1  35        0         1
#> 85    16.44      1  36        0         0
#> 13    14.34      1  54        0         1
#> 179   18.63      1  42        0         0
#> 177   12.53      1  75        0         0
#> 39.1  15.59      1  37        0         1
#> 159   10.55      1  50        0         1
#> 6.2   15.64      1  39        0         0
#> 167   15.55      1  56        1         0
#> 15    22.68      1  48        0         0
#> 106   16.67      1  49        1         0
#> 199.1 19.81      1  NA        0         1
#> 187.1  9.92      1  39        1         0
#> 37.3  12.52      1  57        1         0
#> 42    12.43      1  49        0         1
#> 177.1 12.53      1  75        0         0
#> 75    24.00      0  21        1         0
#> 135   24.00      0  58        1         0
#> 48    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 132   24.00      0  55        0         0
#> 38    24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 116   24.00      0  58        0         1
#> 116.1 24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 126   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 31    24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 82    24.00      0  34        0         0
#> 161   24.00      0  45        0         0
#> 71    24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 87    24.00      0  27        0         0
#> 138   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 44    24.00      0  56        0         0
#> 7     24.00      0  37        1         0
#> 64    24.00      0  43        0         0
#> 172   24.00      0  41        0         0
#> 116.2 24.00      0  58        0         1
#> 132.1 24.00      0  55        0         0
#> 17    24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 132.2 24.00      0  55        0         0
#> 71.1  24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 94.1  24.00      0  51        0         1
#> 176   24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 146.1 24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 163.1 24.00      0  66        0         0
#> 75.1  24.00      0  21        1         0
#> 138.1 24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 160.1 24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 173   24.00      0  19        0         1
#> 9.1   24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 31.1  24.00      0  36        0         1
#> 126.1 24.00      0  48        0         0
#> 38.1  24.00      0  31        1         0
#> 46.1  24.00      0  71        0         0
#> 174.1 24.00      0  49        1         0
#> 9.2   24.00      0  31        1         0
#> 185.1 24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 137.1 24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 65    24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 104.1 24.00      0  50        1         0
#> 9.3   24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 17.1  24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 44.1  24.00      0  56        0         0
#> 33    24.00      0  53        0         0
#> 34.1  24.00      0  36        0         0
#> 176.1 24.00      0  43        0         1
#> 116.3 24.00      0  58        0         1
#> 193.1 24.00      0  45        0         1
#> 119   24.00      0  17        0         0
#> 161.1 24.00      0  45        0         0
#> 3     24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 185.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.06          NA        NA      NA
#> 2 age, Cure model           0.0217        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0631        NA        NA      NA
#> 4 grade_iii, Cure model     0.704         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000412        NA        NA      NA
#> 2 grade_ii, Survival model   0.561           NA        NA      NA
#> 3 grade_iii, Survival model  0.107           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.05648           0.02172          -0.06311           0.70405  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262.4 
#> Residual Deviance: 253.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.05648327       0.02172498      -0.06311478       0.70405142 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0004122621     0.5614254849     0.1068093655 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.12955977 0.20103558 0.74951828 0.66256176 0.71524765 0.20103558
#>   [7] 0.73240378 0.71524765 0.17597315 0.99226402 0.31851744 0.46101797
#>  [13] 0.88111993 0.49823954 0.66256176 0.46101797 0.81682671 0.93744034
#>  [19] 0.43056339 0.40043450 0.07741280 0.90519533 0.79187306 0.52626543
#>  [25] 0.12955977 0.60903552 0.97684219 0.74096028 0.49823954 0.29792680
#>  [31] 0.36984408 0.85689290 0.43056339 0.85689290 0.40043450 0.60903552
#>  [37] 0.60002163 0.92129206 0.07741280 0.32895283 0.22407015 0.45080063
#>  [43] 0.81682671 0.12955977 0.22407015 0.04588103 0.24553279 0.65368163
#>  [49] 0.32895283 0.46101797 0.90519533 0.10273472 0.68886346 0.77514960
#>  [55] 0.26681917 0.81682671 0.34945103 0.88111993 0.57309952 0.92936958
#>  [61] 0.36984408 0.77514960 0.46101797 0.62688180 0.27737143 0.40043450
#>  [67] 0.56376637 0.29792680 0.97684219 0.24553279 0.55441951 0.95331995
#>  [73] 0.01025102 0.12955977 0.17597315 0.88111993 0.96901004 0.57309952
#>  [79] 0.93744034 0.02830864 0.76660777 0.06302831 0.63587252 0.52626543
#>  [85] 0.63587252 0.49823954 0.34945103 0.27737143 0.57309952 0.75806727
#>  [91] 0.39014419 0.80021644 0.68886346 0.87302369 0.66256176 0.70646824
#>  [97] 0.11613122 0.54505781 0.95331995 0.81682671 0.84879293 0.80021644
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   169   139    57     6    29 139.1    18  29.1    66    91   170    41    10 
#> 22.41 21.49 14.46 15.64 15.45 21.49 15.21 15.45 22.13  5.33 19.54 18.02 10.53 
#>   117   6.1  41.1    37   145   108    88    69    52   140   111 169.1   188 
#> 17.46 15.64 18.02 12.52 10.07 18.29 18.37 23.23 10.42 12.68 17.45 22.41 16.16 
#>   149   180 117.1   105    97    56 108.1  56.1  88.1 188.1    79    93  69.1 
#>  8.37 14.82 17.46 19.75 19.14 12.21 18.29 12.21 18.37 16.16 16.23 10.33 23.23 
#>    58   153    51  37.1 169.2 153.1   164    99   125    55  41.2  52.1    92 
#> 19.34 21.33 18.23 12.52 22.41 21.33 23.60 21.19 15.65 19.34 18.02 10.42 22.92 
#>    39    60    32  37.2    76  10.1   192    61  97.1  60.1  41.3   100   128 
#> 15.59 13.15 20.90 12.52 19.22 10.53 16.44 10.12 19.14 13.15 18.02 16.07 20.35 
#>  88.2   130 105.1 149.1  99.1   171   187    24 169.3  66.1  10.2   183 192.1 
#> 18.37 16.47 19.75  8.37 21.19 16.57  9.92 23.89 22.41 22.13 10.53  9.24 16.44 
#> 145.1    86    81   129    26 111.1  26.1 117.2  76.1 128.1    85    13   179 
#> 10.07 23.81 14.06 23.41 15.77 17.45 15.77 17.46 19.22 20.35 16.44 14.34 18.63 
#>   177  39.1   159   6.2   167    15   106 187.1  37.3    42 177.1    75   135 
#> 12.53 15.59 10.55 15.64 15.55 22.68 16.67  9.92 12.52 12.43 12.53 24.00 24.00 
#>    48    34   132    38    46   174   116 116.1    21    20   163   160   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126   152    31   162   146    82   161    71   178    94    87   138    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44     7    64   172 116.2 132.1    17   137 132.2  71.1     9   185   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186  94.1   176    53 146.1     2 163.1  75.1 138.1   144 160.1    28   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1 172.1   156   193  31.1 126.1  38.1  46.1 174.1   9.2 185.1 178.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1     1    65    80 104.1   9.3 156.1   182  17.1   120  44.1    33  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1 116.3 193.1   119 161.1     3  20.1 185.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[49]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005087251               0.407538481               0.369362413 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.502519744             0.008988938             0.253662391 
#>   grade_iii, Cure model 
#>             0.706449369 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 177   12.53      1  75        0         0
#> 181   16.46      1  45        0         1
#> 149    8.37      1  33        1         0
#> 175   21.91      1  43        0         0
#> 187    9.92      1  39        1         0
#> 133   14.65      1  57        0         0
#> 133.1 14.65      1  57        0         0
#> 56    12.21      1  60        0         0
#> 13    14.34      1  54        0         1
#> 43    12.10      1  61        0         1
#> 68    20.62      1  44        0         0
#> 24    23.89      1  38        0         0
#> 88    18.37      1  47        0         0
#> 194   22.40      1  38        0         1
#> 125   15.65      1  67        1         0
#> 180   14.82      1  37        0         0
#> 4     17.64      1  NA        0         1
#> 155   13.08      1  26        0         0
#> 97    19.14      1  65        0         1
#> 150   20.33      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 4.1   17.64      1  NA        0         1
#> 57    14.46      1  45        0         1
#> 91     5.33      1  61        0         1
#> 127    3.53      1  62        0         1
#> 184   17.77      1  38        0         0
#> 139   21.49      1  63        1         0
#> 99    21.19      1  38        0         1
#> 114   13.68      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 134   17.81      1  47        1         0
#> 13.1  14.34      1  54        0         1
#> 25     6.32      1  34        1         0
#> 97.1  19.14      1  65        0         1
#> 60    13.15      1  38        1         0
#> 125.1 15.65      1  67        1         0
#> 111.1 17.45      1  47        0         1
#> 180.1 14.82      1  37        0         0
#> 134.1 17.81      1  47        1         0
#> 88.1  18.37      1  47        0         0
#> 63    22.77      1  31        1         0
#> 81    14.06      1  34        0         0
#> 154   12.63      1  20        1         0
#> 79    16.23      1  54        1         0
#> 36    21.19      1  48        0         1
#> 97.2  19.14      1  65        0         1
#> 8     18.43      1  32        0         0
#> 133.2 14.65      1  57        0         0
#> 69    23.23      1  25        0         1
#> 175.1 21.91      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 18    15.21      1  49        1         0
#> 4.2   17.64      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 187.1  9.92      1  39        1         0
#> 124    9.73      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 188   16.16      1  46        0         1
#> 59.1  10.16      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 29    15.45      1  68        1         0
#> 157   15.10      1  47        0         0
#> 29.1  15.45      1  68        1         0
#> 140   12.68      1  59        1         0
#> 93    10.33      1  52        0         1
#> 130   16.47      1  53        0         1
#> 18.1  15.21      1  49        1         0
#> 154.1 12.63      1  20        1         0
#> 15    22.68      1  48        0         0
#> 18.2  15.21      1  49        1         0
#> 197   21.60      1  69        1         0
#> 51    18.23      1  83        0         1
#> 13.2  14.34      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 16     8.71      1  71        0         1
#> 86    23.81      1  58        0         1
#> 100   16.07      1  60        0         0
#> 153   21.33      1  55        1         0
#> 91.1   5.33      1  61        0         1
#> 117   17.46      1  26        0         1
#> 85    16.44      1  36        0         0
#> 32    20.90      1  37        1         0
#> 88.2  18.37      1  47        0         0
#> 25.1   6.32      1  34        1         0
#> 145   10.07      1  65        1         0
#> 169   22.41      1  46        0         0
#> 153.1 21.33      1  55        1         0
#> 60.1  13.15      1  38        1         0
#> 105   19.75      1  60        0         0
#> 166   19.98      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 166.1 19.98      1  48        0         0
#> 50    10.02      1  NA        1         0
#> 91.2   5.33      1  61        0         1
#> 24.1  23.89      1  38        0         0
#> 41    18.02      1  40        1         0
#> 39    15.59      1  37        0         1
#> 195.1 11.76      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 57.1  14.46      1  45        0         1
#> 180.2 14.82      1  37        0         0
#> 89.1  11.44      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 194.1 22.40      1  38        0         1
#> 155.1 13.08      1  26        0         0
#> 13.3  14.34      1  54        0         1
#> 5     16.43      1  51        0         1
#> 70     7.38      1  30        1         0
#> 105.1 19.75      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 156   24.00      0  50        1         0
#> 144   24.00      0  28        0         1
#> 104   24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 193   24.00      0  45        0         1
#> 74    24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 137   24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 74.1  24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 109   24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 22    24.00      0  52        1         0
#> 22.1  24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 142.1 24.00      0  53        0         0
#> 109.1 24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 119   24.00      0  17        0         0
#> 156.1 24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 119.1 24.00      0  17        0         0
#> 103   24.00      0  56        1         0
#> 102   24.00      0  49        0         0
#> 160   24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 44    24.00      0  56        0         0
#> 65    24.00      0  57        1         0
#> 103.1 24.00      0  56        1         0
#> 75    24.00      0  21        1         0
#> 95    24.00      0  68        0         1
#> 109.2 24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 2     24.00      0   9        0         0
#> 98    24.00      0  34        1         0
#> 11    24.00      0  42        0         1
#> 143   24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 193.1 24.00      0  45        0         1
#> 74.2  24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 163   24.00      0  66        0         0
#> 95.1  24.00      0  68        0         1
#> 48.1  24.00      0  31        1         0
#> 103.2 24.00      0  56        1         0
#> 102.1 24.00      0  49        0         0
#> 174   24.00      0  49        1         0
#> 151   24.00      0  42        0         0
#> 115.1 24.00      0  NA        1         0
#> 7.1   24.00      0  37        1         0
#> 64    24.00      0  43        0         0
#> 67    24.00      0  25        0         0
#> 148.1 24.00      0  61        1         0
#> 118   24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 73.1  24.00      0  NA        0         1
#> 131   24.00      0  66        0         0
#> 115.2 24.00      0  NA        1         0
#> 131.1 24.00      0  66        0         0
#> 109.3 24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 64.1  24.00      0  43        0         0
#> 72    24.00      0  40        0         1
#> 2.1   24.00      0   9        0         0
#> 173   24.00      0  19        0         1
#> 142.2 24.00      0  53        0         0
#> 103.3 24.00      0  56        1         0
#> 44.1  24.00      0  56        0         0
#> 176   24.00      0  43        0         1
#> 119.2 24.00      0  17        0         0
#> 72.1  24.00      0  40        0         1
#> 73.2  24.00      0  NA        0         1
#> 12    24.00      0  63        0         0
#> 112   24.00      0  61        0         0
#> 73.3  24.00      0  NA        0         1
#> 142.3 24.00      0  53        0         0
#> 44.2  24.00      0  56        0         0
#> 47.1  24.00      0  38        0         1
#> 146.1 24.00      0  63        1         0
#> 67.1  24.00      0  25        0         0
#> 143.1 24.00      0  51        0         0
#> 73.4  24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.503          NA        NA      NA
#> 2 age, Cure model          0.00899        NA        NA      NA
#> 3 grade_ii, Cure model     0.254          NA        NA      NA
#> 4 grade_iii, Cure model    0.706          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00509        NA        NA      NA
#> 2 grade_ii, Survival model   0.408          NA        NA      NA
#> 3 grade_iii, Survival model  0.369          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.502520          0.008989          0.253662          0.706449  
#> 
#> Degrees of Freedom: 178 Total (i.e. Null);  175 Residual
#> Null Deviance:	    246.1 
#> Residual Deviance: 241.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.502519744      0.008988938      0.253662391      0.706449369 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005087251      0.407538481      0.369362413 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.88127637 0.61921271 0.95167819 0.25617058 0.93296592 0.75795359
#>   [7] 0.75795359 0.89440824 0.80068258 0.90093633 0.37450652 0.04528556
#>  [13] 0.48186150 0.22531604 0.66859004 0.73627424 0.84801902 0.44156044
#>  [19] 0.38605613 0.78660343 0.97618806 0.99404646 0.55787319 0.30066396
#>  [25] 0.33935697 0.57598495 0.53975322 0.80068258 0.96402870 0.44156044
#>  [31] 0.83457898 0.66859004 0.57598495 0.73627424 0.53975322 0.48186150
#>  [37] 0.15329381 0.82774062 0.86810659 0.64426388 0.33935697 0.44156044
#>  [43] 0.47164977 0.75795359 0.12980693 0.25617058 0.92662867 0.70706145
#>  [49] 0.77942639 0.93296592 0.88786309 0.65244034 0.60212273 0.69197024
#>  [55] 0.72893047 0.69197024 0.86142900 0.90741871 0.61072120 0.70706145
#>  [61] 0.86810659 0.18907824 0.70706145 0.28614757 0.51135694 0.80068258
#>  [67] 0.51135694 0.94545651 0.10325587 0.66053281 0.31446687 0.97618806
#>  [73] 0.56697618 0.62760992 0.36286689 0.48186150 0.96402870 0.92026870
#>  [79] 0.20740515 0.31446687 0.83457898 0.41974177 0.39751098 0.15329381
#>  [85] 0.39751098 0.97618806 0.04528556 0.53032576 0.68419124 0.59340872
#>  [91] 0.78660343 0.73627424 0.91386036 0.22531604 0.84801902 0.80068258
#>  [97] 0.63598462 0.95786840 0.41974177 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   177   181   149   175   187   133 133.1    56    13    43    68    24    88 
#> 12.53 16.46  8.37 21.91  9.92 14.65 14.65 12.21 14.34 12.10 20.62 23.89 18.37 
#>   194   125   180   155    97   150    57    91   127   184   139    99   111 
#> 22.40 15.65 14.82 13.08 19.14 20.33 14.46  5.33  3.53 17.77 21.49 21.19 17.45 
#>   134  13.1    25  97.1    60 125.1 111.1 180.1 134.1  88.1    63    81   154 
#> 17.81 14.34  6.32 19.14 13.15 15.65 17.45 14.82 17.81 18.37 22.77 14.06 12.63 
#>    79    36  97.2     8 133.2    69 175.1   101    18    96 187.1    42   188 
#> 16.23 21.19 19.14 18.43 14.65 23.23 21.91  9.97 15.21 14.54  9.92 12.43 16.16 
#>   106    29   157  29.1   140    93   130  18.1 154.1    15  18.2   197    51 
#> 16.67 15.45 15.10 15.45 12.68 10.33 16.47 15.21 12.63 22.68 15.21 21.60 18.23 
#>  13.2  51.1    16    86   100   153  91.1   117    85    32  88.2  25.1   145 
#> 14.34 18.23  8.71 23.81 16.07 21.33  5.33 17.46 16.44 20.90 18.37  6.32 10.07 
#>   169 153.1  60.1   105   166  63.1 166.1  91.2  24.1    41    39    30  57.1 
#> 22.41 21.33 13.15 19.75 19.98 22.77 19.98  5.33 23.89 18.02 15.59 17.43 14.46 
#> 180.2    61 194.1 155.1  13.3     5    70 105.1   156   144   104   193    74 
#> 14.82 10.12 22.40 13.08 14.34 16.43  7.38 19.75 24.00 24.00 24.00 24.00 24.00 
#>   196   137   121    48     7   142  74.1   116   109    22  22.1    33   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1 109.1   200   119 156.1    35 119.1   103   102   160   146    44    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1    75    95 109.2   191     2    98    11   143    19 193.1  74.2    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163  95.1  48.1 103.2 102.1   174   151   7.1    64    67 148.1   118    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131 131.1 109.3    47    21  64.1    72   2.1   173 142.2 103.3  44.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.2  72.1    12   112 142.3  44.2  47.1 146.1  67.1 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[50]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00494349                0.17274904                0.09810199 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.06568417              0.01351671              0.63876050 
#>   grade_iii, Cure model 
#>              1.29985215 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 111   17.45      1  47        0         1
#> 187    9.92      1  39        1         0
#> 123   13.00      1  44        1         0
#> 37    12.52      1  57        1         0
#> 155   13.08      1  26        0         0
#> 133   14.65      1  57        0         0
#> 166   19.98      1  48        0         0
#> 68    20.62      1  44        0         0
#> 50    10.02      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 69    23.23      1  25        0         1
#> 77     7.27      1  67        0         1
#> 189   10.51      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 171   16.57      1  41        0         1
#> 8     18.43      1  32        0         0
#> 85    16.44      1  36        0         0
#> 129   23.41      1  53        1         0
#> 57    14.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 93    10.33      1  52        0         1
#> 181   16.46      1  45        0         1
#> 129.1 23.41      1  53        1         0
#> 23    16.92      1  61        0         0
#> 154   12.63      1  20        1         0
#> 56    12.21      1  60        0         0
#> 29    15.45      1  68        1         0
#> 154.1 12.63      1  20        1         0
#> 88    18.37      1  47        0         0
#> 107   11.18      1  54        1         0
#> 76    19.22      1  54        0         1
#> 51    18.23      1  83        0         1
#> 136.1 21.83      1  43        0         1
#> 194   22.40      1  38        0         1
#> 66    22.13      1  53        0         0
#> 4     17.64      1  NA        0         1
#> 79    16.23      1  54        1         0
#> 69.1  23.23      1  25        0         1
#> 180   14.82      1  37        0         0
#> 197   21.60      1  69        1         0
#> 40    18.00      1  28        1         0
#> 181.1 16.46      1  45        0         1
#> 37.1  12.52      1  57        1         0
#> 157   15.10      1  47        0         0
#> 51.1  18.23      1  83        0         1
#> 79.1  16.23      1  54        1         0
#> 58    19.34      1  39        0         0
#> 187.1  9.92      1  39        1         0
#> 50.1  10.02      1  NA        1         0
#> 129.2 23.41      1  53        1         0
#> 125   15.65      1  67        1         0
#> 16     8.71      1  71        0         1
#> 100   16.07      1  60        0         0
#> 145   10.07      1  65        1         0
#> 77.1   7.27      1  67        0         1
#> 97    19.14      1  65        0         1
#> 5     16.43      1  51        0         1
#> 4.1   17.64      1  NA        0         1
#> 111.1 17.45      1  47        0         1
#> 23.1  16.92      1  61        0         0
#> 189.1 10.51      1  NA        1         0
#> 133.1 14.65      1  57        0         0
#> 91     5.33      1  61        0         1
#> 188   16.16      1  46        0         1
#> 93.1  10.33      1  52        0         1
#> 52    10.42      1  52        0         1
#> 134   17.81      1  47        1         0
#> 189.2 10.51      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 77.2   7.27      1  67        0         1
#> 189.3 10.51      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 177   12.53      1  75        0         0
#> 183    9.24      1  67        1         0
#> 133.2 14.65      1  57        0         0
#> 68.1  20.62      1  44        0         0
#> 180.1 14.82      1  37        0         0
#> 139   21.49      1  63        1         0
#> 150.1 20.33      1  48        0         0
#> 49    12.19      1  48        1         0
#> 153   21.33      1  55        1         0
#> 29.1  15.45      1  68        1         0
#> 197.1 21.60      1  69        1         0
#> 37.2  12.52      1  57        1         0
#> 170   19.54      1  43        0         1
#> 117   17.46      1  26        0         1
#> 164   23.60      1  76        0         1
#> 89    11.44      1  NA        0         0
#> 77.3   7.27      1  67        0         1
#> 117.1 17.46      1  26        0         1
#> 111.2 17.45      1  47        0         1
#> 15    22.68      1  48        0         0
#> 167.1 15.55      1  56        1         0
#> 24    23.89      1  38        0         0
#> 167.2 15.55      1  56        1         0
#> 139.1 21.49      1  63        1         0
#> 113   22.86      1  34        0         0
#> 92    22.92      1  47        0         1
#> 197.2 21.60      1  69        1         0
#> 96.1  14.54      1  33        0         1
#> 88.1  18.37      1  47        0         0
#> 171.1 16.57      1  41        0         1
#> 179   18.63      1  42        0         0
#> 40.1  18.00      1  28        1         0
#> 18    15.21      1  49        1         0
#> 171.2 16.57      1  41        0         1
#> 181.2 16.46      1  45        0         1
#> 55    19.34      1  69        0         1
#> 136.2 21.83      1  43        0         1
#> 108   18.29      1  39        0         1
#> 107.1 11.18      1  54        1         0
#> 111.3 17.45      1  47        0         1
#> 38    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 102   24.00      0  49        0         0
#> 47    24.00      0  38        0         1
#> 54    24.00      0  53        1         0
#> 148   24.00      0  61        1         0
#> 98    24.00      0  34        1         0
#> 98.1  24.00      0  34        1         0
#> 115   24.00      0  NA        1         0
#> 161   24.00      0  45        0         0
#> 141   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 28    24.00      0  67        1         0
#> 122   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 87    24.00      0  27        0         0
#> 115.1 24.00      0  NA        1         0
#> 44    24.00      0  56        0         0
#> 137   24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 162   24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 116   24.00      0  58        0         1
#> 144   24.00      0  28        0         1
#> 121   24.00      0  57        1         0
#> 143.1 24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 27    24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 17    24.00      0  38        0         1
#> 95.1  24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 172   24.00      0  41        0         0
#> 31    24.00      0  36        0         1
#> 102.1 24.00      0  49        0         0
#> 27.1  24.00      0  63        1         0
#> 82.1  24.00      0  34        0         0
#> 2     24.00      0   9        0         0
#> 141.1 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 176   24.00      0  43        0         1
#> 132   24.00      0  55        0         0
#> 151   24.00      0  42        0         0
#> 64    24.00      0  43        0         0
#> 46    24.00      0  71        0         0
#> 27.2  24.00      0  63        1         0
#> 17.1  24.00      0  38        0         1
#> 102.2 24.00      0  49        0         0
#> 67    24.00      0  25        0         0
#> 162.1 24.00      0  51        0         0
#> 64.1  24.00      0  43        0         0
#> 119   24.00      0  17        0         0
#> 137.1 24.00      0  45        1         0
#> 21.1  24.00      0  47        0         0
#> 151.1 24.00      0  42        0         0
#> 132.1 24.00      0  55        0         0
#> 142   24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 132.2 24.00      0  55        0         0
#> 186.1 24.00      0  45        1         0
#> 53.1  24.00      0  32        0         1
#> 152   24.00      0  36        0         1
#> 87.1  24.00      0  27        0         0
#> 112.1 24.00      0  61        0         0
#> 65    24.00      0  57        1         0
#> 122.1 24.00      0  66        0         0
#> 198.1 24.00      0  66        0         1
#> 173   24.00      0  19        0         1
#> 95.2  24.00      0  68        0         1
#> 126   24.00      0  48        0         0
#> 64.2  24.00      0  43        0         0
#> 174   24.00      0  49        1         0
#> 102.3 24.00      0  49        0         0
#> 141.2 24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 28.1  24.00      0  67        1         0
#> 82.2  24.00      0  34        0         0
#> 142.1 24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 46.1  24.00      0  71        0         0
#> 104   24.00      0  50        1         0
#> 62    24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 38.1  24.00      0  31        1         0
#> 118.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.07          NA        NA      NA
#> 2 age, Cure model           0.0135        NA        NA      NA
#> 3 grade_ii, Cure model      0.639         NA        NA      NA
#> 4 grade_iii, Cure model     1.30          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00494        NA        NA      NA
#> 2 grade_ii, Survival model   0.173          NA        NA      NA
#> 3 grade_iii, Survival model  0.0981         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.06568           0.01352           0.63876           1.29985  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 246.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.06568417       0.01351671       0.63876050       1.29985215 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00494349       0.17274904       0.09810199 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.54164472 0.93812944 0.82963534 0.85929034 0.82213448 0.77709633
#>   [7] 0.37104316 0.32990236 0.69971149 0.12949192 0.96605935 0.22871893
#>  [13] 0.59280421 0.44048237 0.64261385 0.08655194 0.81462423 0.35063412
#>  [19] 0.91691515 0.61789859 0.08655194 0.57569851 0.83710396 0.88097361
#>  [25] 0.73105211 0.83710396 0.45013929 0.89547784 0.41118228 0.47851682
#>  [31] 0.22871893 0.20142629 0.21520201 0.65922002 0.12949192 0.76186204
#>  [37] 0.26474628 0.49681448 0.61789859 0.85929034 0.75417543 0.47851682
#>  [43] 0.65922002 0.39148761 0.93812944 0.08655194 0.69167780 0.95910235
#>  [49] 0.68358250 0.93106292 0.96605935 0.42104512 0.65093914 0.54164472
#>  [55] 0.57569851 0.77709633 0.99317395 0.67545397 0.91691515 0.90976655
#>  [61] 0.51486952 0.79962093 0.96605935 0.70772561 0.85189259 0.95211663
#>  [67] 0.77709633 0.32990236 0.76186204 0.29776609 0.35063412 0.88824073
#>  [73] 0.31920251 0.73105211 0.26474628 0.85929034 0.38131529 0.52389784
#>  [79] 0.06065616 0.96605935 0.52389784 0.54164472 0.18733200 0.70772561
#>  [85] 0.02648250 0.70772561 0.29776609 0.17294856 0.15834365 0.26474628
#>  [91] 0.79962093 0.45013929 0.59280421 0.43078903 0.49681448 0.74646828
#>  [97] 0.59280421 0.61789859 0.39148761 0.22871893 0.46903631 0.89547784
#> [103] 0.54164472 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   111   187   123    37   155   133   166    68     6    69    77   136   171 
#> 17.45  9.92 13.00 12.52 13.08 14.65 19.98 20.62 15.64 23.23  7.27 21.83 16.57 
#>     8    85   129    57   150    93   181 129.1    23   154    56    29 154.1 
#> 18.43 16.44 23.41 14.46 20.33 10.33 16.46 23.41 16.92 12.63 12.21 15.45 12.63 
#>    88   107    76    51 136.1   194    66    79  69.1   180   197    40 181.1 
#> 18.37 11.18 19.22 18.23 21.83 22.40 22.13 16.23 23.23 14.82 21.60 18.00 16.46 
#>  37.1   157  51.1  79.1    58 187.1 129.2   125    16   100   145  77.1    97 
#> 12.52 15.10 18.23 16.23 19.34  9.92 23.41 15.65  8.71 16.07 10.07  7.27 19.14 
#>     5 111.1  23.1 133.1    91   188  93.1    52   134    96  77.2   167   177 
#> 16.43 17.45 16.92 14.65  5.33 16.16 10.33 10.42 17.81 14.54  7.27 15.55 12.53 
#>   183 133.2  68.1 180.1   139 150.1    49   153  29.1 197.1  37.2   170   117 
#>  9.24 14.65 20.62 14.82 21.49 20.33 12.19 21.33 15.45 21.60 12.52 19.54 17.46 
#>   164  77.3 117.1 111.2    15 167.1    24 167.2 139.1   113    92 197.2  96.1 
#> 23.60  7.27 17.46 17.45 22.68 15.55 23.89 15.55 21.49 22.86 22.92 21.60 14.54 
#>  88.1 171.1   179  40.1    18 171.2 181.2    55 136.2   108 107.1 111.3    38 
#> 18.37 16.57 18.63 18.00 15.21 16.57 16.46 19.34 21.83 18.29 11.18 17.45 24.00 
#>    53   102    47    54   148    98  98.1   161   141    95    28   122   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    44   137   103   162   143    21   118    82   116   144   121 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83    27   186    17  95.1   112   172    31 102.1  27.1  82.1     2 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   176   132   151    64    46  27.2  17.1 102.2    67 162.1  64.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1  21.1 151.1 132.1   142   198 132.2 186.1  53.1   152  87.1 112.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.1 198.1   173  95.2   126  64.2   174 102.3 141.2   163  28.1  82.2 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80  46.1   104    62   109  38.1 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[51]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005798075               0.634312454               0.548148788 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.25557808              0.02735844             -0.51289711 
#>   grade_iii, Cure model 
#>              0.98916937 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 183    9.24      1  67        1         0
#> 140   12.68      1  59        1         0
#> 78    23.88      1  43        0         0
#> 85    16.44      1  36        0         0
#> 107   11.18      1  54        1         0
#> 192   16.44      1  31        1         0
#> 13    14.34      1  54        0         1
#> 68    20.62      1  44        0         0
#> 42    12.43      1  49        0         1
#> 6     15.64      1  39        0         0
#> 50    10.02      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 81    14.06      1  34        0         0
#> 91     5.33      1  61        0         1
#> 159   10.55      1  50        0         1
#> 43    12.10      1  61        0         1
#> 36    21.19      1  48        0         1
#> 60    13.15      1  38        1         0
#> 37    12.52      1  57        1         0
#> 29    15.45      1  68        1         0
#> 14    12.89      1  21        0         0
#> 183.1  9.24      1  67        1         0
#> 15    22.68      1  48        0         0
#> 60.1  13.15      1  38        1         0
#> 29.1  15.45      1  68        1         0
#> 50.1  10.02      1  NA        1         0
#> 81.1  14.06      1  34        0         0
#> 41    18.02      1  40        1         0
#> 192.1 16.44      1  31        1         0
#> 59    10.16      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 40    18.00      1  28        1         0
#> 86    23.81      1  58        0         1
#> 36.1  21.19      1  48        0         1
#> 110   17.56      1  65        0         1
#> 117   17.46      1  26        0         1
#> 117.1 17.46      1  26        0         1
#> 171   16.57      1  41        0         1
#> 197   21.60      1  69        1         0
#> 166   19.98      1  48        0         0
#> 77     7.27      1  67        0         1
#> 170   19.54      1  43        0         1
#> 4     17.64      1  NA        0         1
#> 166.1 19.98      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 77.1   7.27      1  67        0         1
#> 45    17.42      1  54        0         1
#> 85.1  16.44      1  36        0         0
#> 78.1  23.88      1  43        0         0
#> 91.1   5.33      1  61        0         1
#> 199   19.81      1  NA        0         1
#> 81.2  14.06      1  34        0         0
#> 76    19.22      1  54        0         1
#> 78.2  23.88      1  43        0         0
#> 149    8.37      1  33        1         0
#> 110.1 17.56      1  65        0         1
#> 127    3.53      1  62        0         1
#> 197.1 21.60      1  69        1         0
#> 101    9.97      1  10        0         1
#> 164   23.60      1  76        0         1
#> 194   22.40      1  38        0         1
#> 189   10.51      1  NA        1         0
#> 4.1   17.64      1  NA        0         1
#> 40.1  18.00      1  28        1         0
#> 164.1 23.60      1  76        0         1
#> 194.1 22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 169   22.41      1  46        0         0
#> 93    10.33      1  52        0         1
#> 100   16.07      1  60        0         0
#> 108   18.29      1  39        0         1
#> 107.1 11.18      1  54        1         0
#> 8     18.43      1  32        0         0
#> 45.1  17.42      1  54        0         1
#> 51    18.23      1  83        0         1
#> 77.2   7.27      1  67        0         1
#> 52    10.42      1  52        0         1
#> 59.1  10.16      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 29.2  15.45      1  68        1         0
#> 5     16.43      1  51        0         1
#> 61    10.12      1  36        0         1
#> 93.1  10.33      1  52        0         1
#> 90    20.94      1  50        0         1
#> 52.1  10.42      1  52        0         1
#> 81.3  14.06      1  34        0         0
#> 66    22.13      1  53        0         0
#> 158   20.14      1  74        1         0
#> 68.1  20.62      1  44        0         0
#> 91.2   5.33      1  61        0         1
#> 56    12.21      1  60        0         0
#> 63    22.77      1  31        1         0
#> 81.4  14.06      1  34        0         0
#> 4.2   17.64      1  NA        0         1
#> 171.1 16.57      1  41        0         1
#> 133   14.65      1  57        0         0
#> 57    14.46      1  45        0         1
#> 45.2  17.42      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 30    17.43      1  78        0         0
#> 66.1  22.13      1  53        0         0
#> 197.2 21.60      1  69        1         0
#> 106   16.67      1  49        1         0
#> 195   11.76      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 179   18.63      1  42        0         0
#> 57.1  14.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 157.1 15.10      1  47        0         0
#> 159.1 10.55      1  50        0         1
#> 45.3  17.42      1  54        0         1
#> 105   19.75      1  60        0         0
#> 162   24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 185   24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 33    24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 132   24.00      0  55        0         0
#> 152   24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 198   24.00      0  66        0         1
#> 19    24.00      0  57        0         1
#> 162.1 24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 162.2 24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 186   24.00      0  45        1         0
#> 19.1  24.00      0  57        0         1
#> 151   24.00      0  42        0         0
#> 174.1 24.00      0  49        1         0
#> 173   24.00      0  19        0         1
#> 118   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 22    24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 35    24.00      0  51        0         0
#> 186.1 24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 193   24.00      0  45        0         1
#> 109.1 24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 165   24.00      0  47        0         0
#> 185.1 24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 17    24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 160   24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 2.1   24.00      0   9        0         0
#> 73    24.00      0  NA        0         1
#> 151.1 24.00      0  42        0         0
#> 193.1 24.00      0  45        0         1
#> 141   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 196   24.00      0  19        0         0
#> 31    24.00      0  36        0         1
#> 72.1  24.00      0  40        0         1
#> 148   24.00      0  61        1         0
#> 132.1 24.00      0  55        0         0
#> 98    24.00      0  34        1         0
#> 185.2 24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 200   24.00      0  64        0         0
#> 98.1  24.00      0  34        1         0
#> 82.1  24.00      0  34        0         0
#> 152.1 24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 165.1 24.00      0  47        0         0
#> 182.1 24.00      0  35        0         0
#> 121   24.00      0  57        1         0
#> 2.2   24.00      0   9        0         0
#> 9.1   24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 185.3 24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 31.1  24.00      0  36        0         1
#> 141.1 24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 33.1  24.00      0  53        0         0
#> 147.1 24.00      0  76        1         0
#> 137   24.00      0  45        1         0
#> 2.3   24.00      0   9        0         0
#> 141.2 24.00      0  44        1         0
#> 152.2 24.00      0  36        0         1
#> 174.2 24.00      0  49        1         0
#> 94    24.00      0  51        0         1
#> 156   24.00      0  50        1         0
#> 132.2 24.00      0  55        0         0
#> 38    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 87.1  24.00      0  27        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.26          NA        NA      NA
#> 2 age, Cure model           0.0274        NA        NA      NA
#> 3 grade_ii, Cure model     -0.513         NA        NA      NA
#> 4 grade_iii, Cure model     0.989         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00580        NA        NA      NA
#> 2 grade_ii, Survival model   0.634          NA        NA      NA
#> 3 grade_iii, Survival model  0.548          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.25558           0.02736          -0.51290           0.98917  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 235.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.25557808       0.02735844      -0.51289711       0.98916937 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005798075      0.634312454      0.548148788 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.91459151 0.77149795 0.01186796 0.54209193 0.81710556 0.54209193
#>   [7] 0.68943664 0.23618950 0.78978632 0.60662002 0.41605755 0.69864883
#>  [13] 0.96606379 0.83505730 0.80800368 0.20436478 0.74403327 0.78066115
#>  [19] 0.61597366 0.76229767 0.91459151 0.09157246 0.74403327 0.61597366
#>  [25] 0.69864883 0.38550837 0.54209193 0.58801351 0.39599466 0.04281942
#>  [31] 0.20436478 0.42626219 0.44625074 0.44625074 0.52322615 0.17249493
#>  [37] 0.27878854 0.94051102 0.31086787 0.27878854 0.94051102 0.47577440
#>  [43] 0.54209193 0.01186796 0.96606379 0.69864883 0.32163555 0.01186796
#>  [49] 0.93187412 0.42626219 0.99147234 0.17249493 0.89709151 0.05664436
#>  [55] 0.12718536 0.39599466 0.05664436 0.12718536 0.64327852 0.11467339
#>  [61] 0.87063107 0.59729547 0.35386129 0.81710556 0.34305627 0.47577440
#>  [67] 0.36454244 0.94051102 0.85289606 0.90586281 0.61597366 0.57868368
#>  [73] 0.88826561 0.87063107 0.22550852 0.85289606 0.69864883 0.14938340
#>  [79] 0.26818912 0.23618950 0.96606379 0.79887974 0.07996299 0.69864883
#>  [85] 0.52322615 0.66173856 0.67107076 0.47577440 0.36454244 0.46581197
#>  [91] 0.14938340 0.17249493 0.51357892 0.09157246 0.33230859 0.67107076
#>  [97] 0.25749347 0.64327852 0.83505730 0.47577440 0.29996876 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   183   140    78    85   107   192    13    68    42     6   184    81    91 
#>  9.24 12.68 23.88 16.44 11.18 16.44 14.34 20.62 12.43 15.64 17.77 14.06  5.33 
#>   159    43    36    60    37    29    14 183.1    15  60.1  29.1  81.1    41 
#> 10.55 12.10 21.19 13.15 12.52 15.45 12.89  9.24 22.68 13.15 15.45 14.06 18.02 
#> 192.1   188    40    86  36.1   110   117 117.1   171   197   166    77   170 
#> 16.44 16.16 18.00 23.81 21.19 17.56 17.46 17.46 16.57 21.60 19.98  7.27 19.54 
#> 166.1  77.1    45  85.1  78.1  91.1  81.2    76  78.2   149 110.1   127 197.1 
#> 19.98  7.27 17.42 16.44 23.88  5.33 14.06 19.22 23.88  8.37 17.56  3.53 21.60 
#>   101   164   194  40.1 164.1 194.1   157   169    93   100   108 107.1     8 
#>  9.97 23.60 22.40 18.00 23.60 22.40 15.10 22.41 10.33 16.07 18.29 11.18 18.43 
#>  45.1    51  77.2    52   187  29.2     5    61  93.1    90  52.1  81.3    66 
#> 17.42 18.23  7.27 10.42  9.92 15.45 16.43 10.12 10.33 20.94 10.42 14.06 22.13 
#>   158  68.1  91.2    56    63  81.4 171.1   133    57  45.2  51.1    30  66.1 
#> 20.14 20.62  5.33 12.21 22.77 14.06 16.57 14.65 14.46 17.42 18.23 17.43 22.13 
#> 197.2   106  15.1   179  57.1   128 157.1 159.1  45.3   105   162   135   185 
#> 21.60 16.67 22.68 18.63 14.46 20.35 15.10 10.55 17.42 19.75 24.00 24.00 24.00 
#>   103    33     2   132   152     9   182   198    19 162.1   174 162.2    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186  19.1   151 174.1   173   118     3   109    22    65    64    35 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48    20   163    62   161   193 109.1    72   165 185.1  65.1    54    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   160    82   2.1 151.1 193.1   141   147   196    31  72.1   148 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98 185.2    80   200  98.1  82.1 152.1    46 165.1 182.1   121   2.2   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1 185.3  31.1 141.1   178  33.1 147.1   137   2.3 141.2 152.2 174.2    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156 132.2    38    47  87.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[52]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001177047               0.077094735              -0.329504253 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.112700403             0.004185574            -0.027081133 
#>   grade_iii, Cure model 
#>             0.349868750 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 14    12.89      1  21        0         0
#> 8     18.43      1  32        0         0
#> 140   12.68      1  59        1         0
#> 184   17.77      1  38        0         0
#> 133   14.65      1  57        0         0
#> 6     15.64      1  39        0         0
#> 51    18.23      1  83        0         1
#> 89    11.44      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 40    18.00      1  28        1         0
#> 181   16.46      1  45        0         1
#> 60    13.15      1  38        1         0
#> 8.1   18.43      1  32        0         0
#> 171   16.57      1  41        0         1
#> 4     17.64      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 194   22.40      1  38        0         1
#> 99    21.19      1  38        0         1
#> 155   13.08      1  26        0         0
#> 70     7.38      1  30        1         0
#> 37    12.52      1  57        1         0
#> 127    3.53      1  62        0         1
#> 100   16.07      1  60        0         0
#> 63    22.77      1  31        1         0
#> 85    16.44      1  36        0         0
#> 133.1 14.65      1  57        0         0
#> 114   13.68      1  NA        0         0
#> 155.1 13.08      1  26        0         0
#> 111   17.45      1  47        0         1
#> 192   16.44      1  31        1         0
#> 8.2   18.43      1  32        0         0
#> 134   17.81      1  47        1         0
#> 51.1  18.23      1  83        0         1
#> 180   14.82      1  37        0         0
#> 155.2 13.08      1  26        0         0
#> 26    15.77      1  49        0         1
#> 127.1  3.53      1  62        0         1
#> 66    22.13      1  53        0         0
#> 88    18.37      1  47        0         0
#> 117   17.46      1  26        0         1
#> 157   15.10      1  47        0         0
#> 140.1 12.68      1  59        1         0
#> 99.1  21.19      1  38        0         1
#> 134.1 17.81      1  47        1         0
#> 177   12.53      1  75        0         0
#> 26.1  15.77      1  49        0         1
#> 164   23.60      1  76        0         1
#> 170   19.54      1  43        0         1
#> 25     6.32      1  34        1         0
#> 99.2  21.19      1  38        0         1
#> 42    12.43      1  49        0         1
#> 13    14.34      1  54        0         1
#> 134.2 17.81      1  47        1         0
#> 128   20.35      1  35        0         1
#> 157.1 15.10      1  47        0         0
#> 86    23.81      1  58        0         1
#> 99.3  21.19      1  38        0         1
#> 45    17.42      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 128.1 20.35      1  35        0         1
#> 195   11.76      1  NA        1         0
#> 88.1  18.37      1  47        0         0
#> 129   23.41      1  53        1         0
#> 63.1  22.77      1  31        1         0
#> 171.1 16.57      1  41        0         1
#> 45.1  17.42      1  54        0         1
#> 101    9.97      1  10        0         1
#> 49    12.19      1  48        1         0
#> 159   10.55      1  50        0         1
#> 123   13.00      1  44        1         0
#> 167   15.55      1  56        1         0
#> 81    14.06      1  34        0         0
#> 140.2 12.68      1  59        1         0
#> 63.2  22.77      1  31        1         0
#> 150   20.33      1  48        0         0
#> 107.1 11.18      1  54        1         0
#> 90    20.94      1  50        0         1
#> 81.1  14.06      1  34        0         0
#> 169   22.41      1  46        0         0
#> 114.1 13.68      1  NA        0         0
#> 169.1 22.41      1  46        0         0
#> 91     5.33      1  61        0         1
#> 25.1   6.32      1  34        1         0
#> 14.1  12.89      1  21        0         0
#> 91.1   5.33      1  61        0         1
#> 59    10.16      1  NA        1         0
#> 167.1 15.55      1  56        1         0
#> 40.1  18.00      1  28        1         0
#> 86.1  23.81      1  58        0         1
#> 59.1  10.16      1  NA        1         0
#> 8.3   18.43      1  32        0         0
#> 155.3 13.08      1  26        0         0
#> 117.1 17.46      1  26        0         1
#> 123.1 13.00      1  44        1         0
#> 32    20.90      1  37        1         0
#> 5     16.43      1  51        0         1
#> 10    10.53      1  34        0         0
#> 171.2 16.57      1  41        0         1
#> 86.2  23.81      1  58        0         1
#> 41    18.02      1  40        1         0
#> 189   10.51      1  NA        1         0
#> 169.2 22.41      1  46        0         0
#> 117.2 17.46      1  26        0         1
#> 59.2  10.16      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 110   17.56      1  65        0         1
#> 85.1  16.44      1  36        0         0
#> 69    23.23      1  25        0         1
#> 14.2  12.89      1  21        0         0
#> 40.2  18.00      1  28        1         0
#> 61    10.12      1  36        0         1
#> 51.2  18.23      1  83        0         1
#> 98    24.00      0  34        1         0
#> 3     24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 144   24.00      0  28        0         1
#> 95    24.00      0  68        0         1
#> 72    24.00      0  40        0         1
#> 82    24.00      0  34        0         0
#> 74    24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 46    24.00      0  71        0         0
#> 82.1  24.00      0  34        0         0
#> 119.1 24.00      0  17        0         0
#> 19    24.00      0  57        0         1
#> 73    24.00      0  NA        0         1
#> 126   24.00      0  48        0         0
#> 74.1  24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 27    24.00      0  63        1         0
#> 161   24.00      0  45        0         0
#> 3.1   24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 17    24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 83    24.00      0   6        0         0
#> 71    24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 83.1  24.00      0   6        0         0
#> 2     24.00      0   9        0         0
#> 21    24.00      0  47        0         0
#> 7     24.00      0  37        1         0
#> 19.1  24.00      0  57        0         1
#> 102   24.00      0  49        0         0
#> 94    24.00      0  51        0         1
#> 17.1  24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 131   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 141.1 24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 47    24.00      0  38        0         1
#> 7.1   24.00      0  37        1         0
#> 7.2   24.00      0  37        1         0
#> 122   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 21.1  24.00      0  47        0         0
#> 17.2  24.00      0  38        0         1
#> 73.1  24.00      0  NA        0         1
#> 47.1  24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 47.2  24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 126.1 24.00      0  48        0         0
#> 28.1  24.00      0  67        1         0
#> 103   24.00      0  56        1         0
#> 135   24.00      0  58        1         0
#> 186   24.00      0  45        1         0
#> 191   24.00      0  60        0         1
#> 122.1 24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 87    24.00      0  27        0         0
#> 141.2 24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 142   24.00      0  53        0         0
#> 142.1 24.00      0  53        0         0
#> 1     24.00      0  23        1         0
#> 9.1   24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 104   24.00      0  50        1         0
#> 196   24.00      0  19        0         0
#> 7.3   24.00      0  37        1         0
#> 17.3  24.00      0  38        0         1
#> 75.2  24.00      0  21        1         0
#> 31    24.00      0  36        0         1
#> 21.2  24.00      0  47        0         0
#> 31.1  24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 7.4   24.00      0  37        1         0
#> 109.1 24.00      0  48        0         0
#> 193   24.00      0  45        0         1
#> 115   24.00      0  NA        1         0
#> 11.1  24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.113          NA        NA      NA
#> 2 age, Cure model          0.00419        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0271         NA        NA      NA
#> 4 grade_iii, Cure model    0.350          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00118        NA        NA      NA
#> 2 grade_ii, Survival model   0.0771         NA        NA      NA
#> 3 grade_iii, Survival model -0.330          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.112700          0.004186         -0.027081          0.349869  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 256 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.112700403      0.004185574     -0.027081133      0.349868750 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001177047      0.077094735     -0.329504253 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.747865514 0.208732463 0.780193325 0.358828275 0.618335990 0.553767617
#>   [7] 0.263345530 0.856320254 0.301844810 0.469285791 0.672491404 0.208732463
#>  [13] 0.438422314 0.162398899 0.095202372 0.111788095 0.683420048 0.922302683
#>  [19] 0.823442102 0.977629616 0.521671629 0.051249436 0.479883294 0.618335990
#>  [25] 0.683420048 0.407906148 0.479883294 0.208732463 0.330362807 0.263345530
#>  [31] 0.607494693 0.683420048 0.532350647 0.977629616 0.103474969 0.244615386
#>  [37] 0.378440728 0.586021765 0.780193325 0.111788095 0.330362807 0.812511046
#>  [43] 0.532350647 0.017751619 0.199186948 0.933394799 0.111788095 0.834371703
#>  [49] 0.639877161 0.330362807 0.171492617 0.586021765 0.004006711 0.111788095
#>  [55] 0.418054446 0.171492617 0.244615386 0.025804885 0.051249436 0.438422314
#>  [61] 0.418054446 0.911204874 0.845347460 0.878117706 0.726178512 0.564591181
#>  [67] 0.650800223 0.780193325 0.051249436 0.189783983 0.856320254 0.144244803
#>  [73] 0.650800223 0.073027245 0.073027245 0.955427579 0.933394799 0.747865514
#>  [79] 0.955427579 0.564591181 0.301844810 0.004006711 0.208732463 0.683420048
#>  [85] 0.378440728 0.726178512 0.153330935 0.511007504 0.889129181 0.438422314
#>  [91] 0.004006711 0.291979927 0.073027245 0.378440728 0.042507921 0.368590968
#>  [97] 0.479883294 0.033842382 0.747865514 0.301844810 0.900146010 0.263345530
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    14     8   140   184   133     6    51   107    40   181    60   8.1   171 
#> 12.89 18.43 12.68 17.77 14.65 15.64 18.23 11.18 18.00 16.46 13.15 18.43 16.57 
#>    68   194    99   155    70    37   127   100    63    85 133.1 155.1   111 
#> 20.62 22.40 21.19 13.08  7.38 12.52  3.53 16.07 22.77 16.44 14.65 13.08 17.45 
#>   192   8.2   134  51.1   180 155.2    26 127.1    66    88   117   157 140.1 
#> 16.44 18.43 17.81 18.23 14.82 13.08 15.77  3.53 22.13 18.37 17.46 15.10 12.68 
#>  99.1 134.1   177  26.1   164   170    25  99.2    42    13 134.2   128 157.1 
#> 21.19 17.81 12.53 15.77 23.60 19.54  6.32 21.19 12.43 14.34 17.81 20.35 15.10 
#>    86  99.3    45 128.1  88.1   129  63.1 171.1  45.1   101    49   159   123 
#> 23.81 21.19 17.42 20.35 18.37 23.41 22.77 16.57 17.42  9.97 12.19 10.55 13.00 
#>   167    81 140.2  63.2   150 107.1    90  81.1   169 169.1    91  25.1  14.1 
#> 15.55 14.06 12.68 22.77 20.33 11.18 20.94 14.06 22.41 22.41  5.33  6.32 12.89 
#>  91.1 167.1  40.1  86.1   8.3 155.3 117.1 123.1    32     5    10 171.2  86.2 
#>  5.33 15.55 18.00 23.81 18.43 13.08 17.46 13.00 20.90 16.43 10.53 16.57 23.81 
#>    41 169.2 117.2   113   110  85.1    69  14.2  40.2    61  51.2    98     3 
#> 18.02 22.41 17.46 22.86 17.56 16.44 23.23 12.89 18.00 10.12 18.23 24.00 24.00 
#>    33   144    95    72    82    74   119    46  82.1 119.1    19   126  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84    27   161   3.1   152   109    17    53    83    71   118   112  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2    21     7  19.1   102    94  17.1   141    62    28   131   172 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165     9   174    47   7.1   7.2   122   156   143  21.1  17.2  47.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.2    75 126.1  28.1   103   135   186   191 122.1    11    87 141.2   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142 142.1     1   9.1  75.1   104   196   7.3  17.3  75.2    31  21.2  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   7.4 109.1   193  11.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[53]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01138224                0.40196683                0.07944912 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.469697022             0.002881779             0.428593400 
#>   grade_iii, Cure model 
#>             1.053736812 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 97    19.14      1  65        0         1
#> 179   18.63      1  42        0         0
#> 181   16.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 16     8.71      1  71        0         1
#> 140   12.68      1  59        1         0
#> 159   10.55      1  50        0         1
#> 113   22.86      1  34        0         0
#> 129   23.41      1  53        1         0
#> 79    16.23      1  54        1         0
#> 55    19.34      1  69        0         1
#> 105   19.75      1  60        0         0
#> 81    14.06      1  34        0         0
#> 6     15.64      1  39        0         0
#> 107   11.18      1  54        1         0
#> 55.1  19.34      1  69        0         1
#> 133   14.65      1  57        0         0
#> 39    15.59      1  37        0         1
#> 61    10.12      1  36        0         1
#> 99    21.19      1  38        0         1
#> 89    11.44      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 175   21.91      1  43        0         0
#> 150   20.33      1  48        0         0
#> 123   13.00      1  44        1         0
#> 181.1 16.46      1  45        0         1
#> 169   22.41      1  46        0         0
#> 169.1 22.41      1  46        0         0
#> 187    9.92      1  39        1         0
#> 37    12.52      1  57        1         0
#> 57    14.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 158   20.14      1  74        1         0
#> 30    17.43      1  78        0         0
#> 39.1  15.59      1  37        0         1
#> 181.2 16.46      1  45        0         1
#> 40    18.00      1  28        1         0
#> 86    23.81      1  58        0         1
#> 92    22.92      1  47        0         1
#> 117   17.46      1  26        0         1
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 66    22.13      1  53        0         0
#> 92.1  22.92      1  47        0         1
#> 181.3 16.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 113.1 22.86      1  34        0         0
#> 58    19.34      1  39        0         0
#> 110   17.56      1  65        0         1
#> 37.1  12.52      1  57        1         0
#> 136   21.83      1  43        0         1
#> 187.1  9.92      1  39        1         0
#> 52    10.42      1  52        0         1
#> 59    10.16      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 92.2  22.92      1  47        0         1
#> 86.1  23.81      1  58        0         1
#> 63    22.77      1  31        1         0
#> 153   21.33      1  55        1         0
#> 158.1 20.14      1  74        1         0
#> 25.1   6.32      1  34        1         0
#> 184   17.77      1  38        0         0
#> 149    8.37      1  33        1         0
#> 96.1  14.54      1  33        0         1
#> 14    12.89      1  21        0         0
#> 179.1 18.63      1  42        0         0
#> 124.1  9.73      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 168   23.72      1  70        0         0
#> 56    12.21      1  60        0         0
#> 129.1 23.41      1  53        1         0
#> 15    22.68      1  48        0         0
#> 111   17.45      1  47        0         1
#> 93    10.33      1  52        0         1
#> 51    18.23      1  83        0         1
#> 37.2  12.52      1  57        1         0
#> 30.1  17.43      1  78        0         0
#> 50    10.02      1  NA        1         0
#> 168.1 23.72      1  70        0         0
#> 190   20.81      1  42        1         0
#> 190.1 20.81      1  42        1         0
#> 30.2  17.43      1  78        0         0
#> 110.1 17.56      1  65        0         1
#> 158.2 20.14      1  74        1         0
#> 192   16.44      1  31        1         0
#> 153.1 21.33      1  55        1         0
#> 136.1 21.83      1  43        0         1
#> 42    12.43      1  49        0         1
#> 50.1  10.02      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 5     16.43      1  51        0         1
#> 50.2  10.02      1  NA        1         0
#> 79.2  16.23      1  54        1         0
#> 111.1 17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 106   16.67      1  49        1         0
#> 149.1  8.37      1  33        1         0
#> 139   21.49      1  63        1         0
#> 155   13.08      1  26        0         0
#> 157   15.10      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 69    23.23      1  25        0         1
#> 10    10.53      1  34        0         0
#> 91     5.33      1  61        0         1
#> 57.1  14.46      1  45        0         1
#> 69.1  23.23      1  25        0         1
#> 181.4 16.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 124.2  9.73      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 59.2  10.16      1  NA        1         0
#> 94    24.00      0  51        0         1
#> 152   24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 44    24.00      0  56        0         0
#> 118   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 64    24.00      0  43        0         0
#> 173.1 24.00      0  19        0         1
#> 142   24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 33    24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 104   24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 34    24.00      0  36        0         0
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 46    24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 176   24.00      0  43        0         1
#> 38    24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 191   24.00      0  60        0         1
#> 193   24.00      0  45        0         1
#> 35    24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 191.1 24.00      0  60        0         1
#> 94.1  24.00      0  51        0         1
#> 131   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 33.1  24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 19    24.00      0  57        0         1
#> 146   24.00      0  63        1         0
#> 94.2  24.00      0  51        0         1
#> 115   24.00      0  NA        1         0
#> 116   24.00      0  58        0         1
#> 161   24.00      0  45        0         0
#> 53    24.00      0  32        0         1
#> 142.1 24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 172   24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 116.1 24.00      0  58        0         1
#> 35.1  24.00      0  51        0         0
#> 118.1 24.00      0  44        1         0
#> 151.1 24.00      0  42        0         0
#> 9     24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 162   24.00      0  51        0         0
#> 151.2 24.00      0  42        0         0
#> 118.2 24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 22    24.00      0  52        1         0
#> 146.1 24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 162.2 24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 120   24.00      0  68        0         1
#> 200.1 24.00      0  64        0         0
#> 80    24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 2     24.00      0   9        0         0
#> 165.1 24.00      0  47        0         0
#> 152.1 24.00      0  36        0         1
#> 9.1   24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 162.3 24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 20    24.00      0  46        1         0
#> 54.1  24.00      0  53        1         0
#> 186   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 46.1  24.00      0  71        0         0
#> 162.4 24.00      0  51        0         0
#> 182.1 24.00      0  35        0         0
#> 163.1 24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 34.1  24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.470          NA        NA      NA
#> 2 age, Cure model          0.00288        NA        NA      NA
#> 3 grade_ii, Cure model     0.429          NA        NA      NA
#> 4 grade_iii, Cure model    1.05           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0114        NA        NA      NA
#> 2 grade_ii, Survival model    0.402         NA        NA      NA
#> 3 grade_iii, Survival model   0.0794        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.469697          0.002882          0.428593          1.053737  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 249.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.469697022      0.002881779      0.428593400      1.053736812 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01138224       0.40196683       0.07944912 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.230905284 0.240267215 0.415891394 0.259175791 0.915034400 0.709559203
#>   [7] 0.803236004 0.041139343 0.010741150 0.496056825 0.196310659 0.187729782
#>  [13] 0.656958998 0.531544683 0.789557166 0.196310659 0.593185380 0.543747051
#>  [19] 0.858818230 0.125222939 0.957488225 0.082561235 0.155658568 0.683175839
#>  [25] 0.415891394 0.063656085 0.063656085 0.887016392 0.722835904 0.631230789
#>  [31] 0.163665070 0.371510964 0.543747051 0.415891394 0.298908656 0.000668269
#>  [37] 0.027100921 0.339749423 0.605865839 0.288831537 0.075910474 0.027100921
#>  [43] 0.415891394 0.125222939 0.041139343 0.196310659 0.319120221 0.722835904
#>  [49] 0.089426216 0.887016392 0.830850144 0.496056825 0.027100921 0.000668269
#>  [55] 0.051987530 0.110658698 0.163665070 0.957488225 0.308956397 0.929265939
#>  [61] 0.605865839 0.696340952 0.240267215 0.196310659 0.003991876 0.775923584
#>  [67] 0.010741150 0.057697551 0.350288820 0.844787779 0.278772676 0.722835904
#>  [73] 0.371510964 0.003991876 0.140379572 0.140379572 0.371510964 0.319120221
#>  [79] 0.163665070 0.472262331 0.110658698 0.089426216 0.762407529 0.568192070
#>  [85] 0.484101960 0.496056825 0.350288820 0.268919700 0.404526553 0.929265939
#>  [91] 0.103321812 0.670034569 0.580633007 0.018562451 0.817005633 0.985698030
#>  [97] 0.631230789 0.018562451 0.415891394 0.872913462 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    97   179   181     8    16   140   159   113   129    79    55   105    81 
#> 19.14 18.63 16.46 18.43  8.71 12.68 10.55 22.86 23.41 16.23 19.34 19.75 14.06 
#>     6   107  55.1   133    39    61    99    25   175   150   123 181.1   169 
#> 15.64 11.18 19.34 14.65 15.59 10.12 21.19  6.32 21.91 20.33 13.00 16.46 22.41 
#> 169.1   187    37    57   158    30  39.1 181.2    40    86    92   117    96 
#> 22.41  9.92 12.52 14.46 20.14 17.43 15.59 16.46 18.00 23.81 22.92 17.46 14.54 
#>    41    66  92.1 181.3    36 113.1    58   110  37.1   136 187.1    52  79.1 
#> 18.02 22.13 22.92 16.46 21.19 22.86 19.34 17.56 12.52 21.83  9.92 10.42 16.23 
#>  92.2  86.1    63   153 158.1  25.1   184   149  96.1    14 179.1  58.1   168 
#> 22.92 23.81 22.77 21.33 20.14  6.32 17.77  8.37 14.54 12.89 18.63 19.34 23.72 
#>    56 129.1    15   111    93    51  37.2  30.1 168.1   190 190.1  30.2 110.1 
#> 12.21 23.41 22.68 17.45 10.33 18.23 12.52 17.43 23.72 20.81 20.81 17.43 17.56 
#> 158.2   192 153.1 136.1    42    29     5  79.2 111.1   108   106 149.1   139 
#> 20.14 16.44 21.33 21.83 12.43 15.45 16.43 16.23 17.45 18.29 16.67  8.37 21.49 
#>   155   157    69    10    91  57.1  69.1 181.4   101    94   152    27    44 
#> 13.08 15.10 23.23 10.53  5.33 14.46 23.23 16.46  9.97 24.00 24.00 24.00 24.00 
#>   118   173    64 173.1   142    82    33    28   104   182    34    72   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   138   141   200   176    38  27.1   178    11   191   193    35   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185    21 191.1  94.1   131    62  33.1    67    19   146  94.2   116   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53 142.1   102   172   148 116.1  35.1 118.1 151.1     9   119   162 151.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.2  28.1    22 146.1 162.1   174 162.2   165   135   120 200.1    80     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2 165.1 152.1   9.1 174.1 162.3    54    20  54.1   186   144  46.1 162.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1 163.1 141.1    74  34.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[54]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003315966               0.674855928               0.619905420 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.527476872             0.003537455             0.387437561 
#>   grade_iii, Cure model 
#>             1.115464956 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 130   16.47      1  53        0         1
#> 154   12.63      1  20        1         0
#> 129   23.41      1  53        1         0
#> 81    14.06      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 153   21.33      1  55        1         0
#> 77     7.27      1  67        0         1
#> 69    23.23      1  25        0         1
#> 36    21.19      1  48        0         1
#> 125   15.65      1  67        1         0
#> 169   22.41      1  46        0         0
#> 189   10.51      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 56    12.21      1  60        0         0
#> 88    18.37      1  47        0         0
#> 18    15.21      1  49        1         0
#> 96    14.54      1  33        0         1
#> 32    20.90      1  37        1         0
#> 61    10.12      1  36        0         1
#> 197   21.60      1  69        1         0
#> 40    18.00      1  28        1         0
#> 26    15.77      1  49        0         1
#> 184   17.77      1  38        0         0
#> 155   13.08      1  26        0         0
#> 192   16.44      1  31        1         0
#> 86    23.81      1  58        0         1
#> 106   16.67      1  49        1         0
#> 36.1  21.19      1  48        0         1
#> 58    19.34      1  39        0         0
#> 49    12.19      1  48        1         0
#> 124    9.73      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 76.1  19.22      1  54        0         1
#> 127    3.53      1  62        0         1
#> 99    21.19      1  38        0         1
#> 76.2  19.22      1  54        0         1
#> 40.1  18.00      1  28        1         0
#> 59    10.16      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 110   17.56      1  65        0         1
#> 153.1 21.33      1  55        1         0
#> 96.1  14.54      1  33        0         1
#> 26.1  15.77      1  49        0         1
#> 29    15.45      1  68        1         0
#> 69.2  23.23      1  25        0         1
#> 183    9.24      1  67        1         0
#> 78    23.88      1  43        0         0
#> 25     6.32      1  34        1         0
#> 108   18.29      1  39        0         1
#> 175   21.91      1  43        0         0
#> 150   20.33      1  48        0         0
#> 30    17.43      1  78        0         0
#> 188   16.16      1  46        0         1
#> 114.1 13.68      1  NA        0         0
#> 108.1 18.29      1  39        0         1
#> 5     16.43      1  51        0         1
#> 66    22.13      1  53        0         0
#> 55    19.34      1  69        0         1
#> 195   11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 13    14.34      1  54        0         1
#> 187.1  9.92      1  39        1         0
#> 26.2  15.77      1  49        0         1
#> 59.1  10.16      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 55.1  19.34      1  69        0         1
#> 96.2  14.54      1  33        0         1
#> 158   20.14      1  74        1         0
#> 170   19.54      1  43        0         1
#> 76.3  19.22      1  54        0         1
#> 127.1  3.53      1  62        0         1
#> 111   17.45      1  47        0         1
#> 97    19.14      1  65        0         1
#> 197.1 21.60      1  69        1         0
#> 63    22.77      1  31        1         0
#> 157   15.10      1  47        0         0
#> 105   19.75      1  60        0         0
#> 36.2  21.19      1  48        0         1
#> 58.1  19.34      1  39        0         0
#> 153.2 21.33      1  55        1         0
#> 153.3 21.33      1  55        1         0
#> 99.1  21.19      1  38        0         1
#> 25.1   6.32      1  34        1         0
#> 55.2  19.34      1  69        0         1
#> 108.2 18.29      1  39        0         1
#> 68    20.62      1  44        0         0
#> 61.1  10.12      1  36        0         1
#> 36.3  21.19      1  48        0         1
#> 24    23.89      1  38        0         0
#> 114.2 13.68      1  NA        0         0
#> 29.1  15.45      1  68        1         0
#> 190   20.81      1  42        1         0
#> 128   20.35      1  35        0         1
#> 37    12.52      1  57        1         0
#> 55.3  19.34      1  69        0         1
#> 175.1 21.91      1  43        0         0
#> 60    13.15      1  38        1         0
#> 167   15.55      1  56        1         0
#> 106.1 16.67      1  49        1         0
#> 5.1   16.43      1  51        0         1
#> 168.1 23.72      1  70        0         0
#> 63.1  22.77      1  31        1         0
#> 189.1 10.51      1  NA        1         0
#> 192.1 16.44      1  31        1         0
#> 43    12.10      1  61        0         1
#> 51    18.23      1  83        0         1
#> 106.2 16.67      1  49        1         0
#> 90    20.94      1  50        0         1
#> 181   16.46      1  45        0         1
#> 181.1 16.46      1  45        0         1
#> 44    24.00      0  56        0         0
#> 47    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 186   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 173   24.00      0  19        0         1
#> 148   24.00      0  61        1         0
#> 2     24.00      0   9        0         0
#> 47.1  24.00      0  38        0         1
#> 1     24.00      0  23        1         0
#> 182   24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 115   24.00      0  NA        1         0
#> 48    24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 35    24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 31    24.00      0  36        0         1
#> 148.1 24.00      0  61        1         0
#> 27.1  24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 46    24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 19    24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 38    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 33.1  24.00      0  53        0         0
#> 22    24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 2.1   24.00      0   9        0         0
#> 19.2  24.00      0  57        0         1
#> 143   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 71    24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 176   24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 19.3  24.00      0  57        0         1
#> 84    24.00      0  39        0         1
#> 31.1  24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 19.4  24.00      0  57        0         1
#> 152   24.00      0  36        0         1
#> 160.1 24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 131   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 22.1  24.00      0  52        1         0
#> 87.1  24.00      0  27        0         0
#> 12.1  24.00      0  63        0         0
#> 118   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 28.1  24.00      0  67        1         0
#> 146   24.00      0  63        1         0
#> 121   24.00      0  57        1         0
#> 176.1 24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 165   24.00      0  47        0         0
#> 122.1 24.00      0  66        0         0
#> 74.1  24.00      0  43        0         1
#> 115.1 24.00      0  NA        1         0
#> 147.1 24.00      0  76        1         0
#> 31.2  24.00      0  36        0         1
#> 87.2  24.00      0  27        0         0
#> 118.1 24.00      0  44        1         0
#> 22.2  24.00      0  52        1         0
#> 132.1 24.00      0  55        0         0
#> 80    24.00      0  41        0         0
#> 193.1 24.00      0  45        0         1
#> 165.1 24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 3.1   24.00      0  31        1         0
#> 122.2 24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 48.1  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.527          NA        NA      NA
#> 2 age, Cure model          0.00354        NA        NA      NA
#> 3 grade_ii, Cure model     0.387          NA        NA      NA
#> 4 grade_iii, Cure model    1.12           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00332        NA        NA      NA
#> 2 grade_ii, Survival model   0.675          NA        NA      NA
#> 3 grade_iii, Survival model  0.620          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.527477          0.003537          0.387438          1.115465  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 249.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.527476872      0.003537455      0.387437561      1.115464956 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003315966      0.674855928      0.619905420 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.77778492 0.92494957 0.21640813 0.90911147 0.64763407 0.42381165
#>   [7] 0.97580749 0.24068839 0.46729836 0.84347416 0.32326008 0.24068839
#>  [13] 0.93537417 0.68388061 0.86590408 0.88239817 0.53173647 0.95082246
#>  [19] 0.39775866 0.71883121 0.82629496 0.73227439 0.91968452 0.79640043
#>  [25] 0.13081175 0.75885838 0.46729836 0.60218927 0.94056009 0.87690509
#>  [31] 0.64763407 0.99042336 0.46729836 0.64763407 0.71883121 0.89845508
#>  [37] 0.96090349 0.73901877 0.42381165 0.88239817 0.82629496 0.85484036
#>  [43] 0.24068839 0.97085558 0.08448795 0.98072642 0.69112987 0.36893486
#>  [49] 0.56775625 0.75227956 0.82038150 0.69112987 0.80849776 0.35404868
#>  [55] 0.60218927 0.16304083 0.90380248 0.96090349 0.82629496 0.33904137
#>  [61] 0.60218927 0.88239817 0.57656213 0.59374913 0.64763407 0.99042336
#>  [67] 0.74568372 0.67661837 0.39775866 0.29222485 0.87140751 0.58516952
#>  [73] 0.46729836 0.60218927 0.42381165 0.42381165 0.46729836 0.98072642
#>  [79] 0.60218927 0.69112987 0.54994292 0.95082246 0.46729836 0.03498782
#>  [85] 0.85484036 0.54093598 0.55892675 0.93018191 0.60218927 0.36893486
#>  [91] 0.91441675 0.84918321 0.75885838 0.80849776 0.16304083 0.29222485
#>  [97] 0.79640043 0.94570903 0.71192811 0.75885838 0.52233860 0.78408302
#> [103] 0.78408302 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   130   154   129    81    76   153    77    69    36   125   169  69.1    56 
#> 16.47 12.63 23.41 14.06 19.22 21.33  7.27 23.23 21.19 15.65 22.41 23.23 12.21 
#>    88    18    96    32    61   197    40    26   184   155   192    86   106 
#> 18.37 15.21 14.54 20.90 10.12 21.60 18.00 15.77 17.77 13.08 16.44 23.81 16.67 
#>  36.1    58    49   180  76.1   127    99  76.2  40.1    57   187   110 153.1 
#> 21.19 19.34 12.19 14.82 19.22  3.53 21.19 19.22 18.00 14.46  9.92 17.56 21.33 
#>  96.1  26.1    29  69.2   183    78    25   108   175   150    30   188 108.1 
#> 14.54 15.77 15.45 23.23  9.24 23.88  6.32 18.29 21.91 20.33 17.43 16.16 18.29 
#>     5    66    55   168    13 187.1  26.2   194  55.1  96.2   158   170  76.3 
#> 16.43 22.13 19.34 23.72 14.34  9.92 15.77 22.40 19.34 14.54 20.14 19.54 19.22 
#> 127.1   111    97 197.1    63   157   105  36.2  58.1 153.2 153.3  99.1  25.1 
#>  3.53 17.45 19.14 21.60 22.77 15.10 19.75 21.19 19.34 21.33 21.33 21.19  6.32 
#>  55.2 108.2    68  61.1  36.3    24  29.1   190   128    37  55.3 175.1    60 
#> 19.34 18.29 20.62 10.12 21.19 23.89 15.45 20.81 20.35 12.52 19.34 21.91 13.15 
#>   167 106.1   5.1 168.1  63.1 192.1    43    51 106.2    90   181 181.1    44 
#> 15.55 16.67 16.43 23.72 22.77 16.44 12.10 18.23 16.67 20.94 16.46 16.46 24.00 
#>    47    27   193   186   135   173   148     2  47.1     1   182   138     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48 173.1    35   102    31 148.1  27.1   178   160    33   198    46   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19     9  19.1    38    87  33.1    22    95   2.1  19.2   143   191    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   176  19.3    84  31.1    65  19.4   152 160.1   132    20   131     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74  22.1  87.1  12.1   118    28  28.1   146   121 176.1   162   122    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172   147   165 122.1  74.1 147.1  31.2  87.2 118.1  22.2 132.1    80 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1  21.1   3.1 122.2 131.1  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[55]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003009805               1.120761380               0.570913427 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.244399269             0.003421401             0.019053681 
#>   grade_iii, Cure model 
#>             0.615995979 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 127    3.53      1  62        0         1
#> 194   22.40      1  38        0         1
#> 37    12.52      1  57        1         0
#> 192   16.44      1  31        1         0
#> 86    23.81      1  58        0         1
#> 4     17.64      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 36    21.19      1  48        0         1
#> 13    14.34      1  54        0         1
#> 78    23.88      1  43        0         0
#> 175   21.91      1  43        0         0
#> 4.1   17.64      1  NA        0         1
#> 168   23.72      1  70        0         0
#> 170   19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 111   17.45      1  47        0         1
#> 58    19.34      1  39        0         0
#> 158   20.14      1  74        1         0
#> 43    12.10      1  61        0         1
#> 166   19.98      1  48        0         0
#> 123   13.00      1  44        1         0
#> 66    22.13      1  53        0         0
#> 88    18.37      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 5     16.43      1  51        0         1
#> 187    9.92      1  39        1         0
#> 179   18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 169   22.41      1  46        0         0
#> 159   10.55      1  50        0         1
#> 6     15.64      1  39        0         0
#> 113   22.86      1  34        0         0
#> 51    18.23      1  83        0         1
#> 32    20.90      1  37        1         0
#> 24    23.89      1  38        0         0
#> 167   15.55      1  56        1         0
#> 127.1  3.53      1  62        0         1
#> 92    22.92      1  47        0         1
#> 180   14.82      1  37        0         0
#> 41    18.02      1  40        1         0
#> 40    18.00      1  28        1         0
#> 168.1 23.72      1  70        0         0
#> 89    11.44      1  NA        0         0
#> 175.1 21.91      1  43        0         0
#> 25     6.32      1  34        1         0
#> 63    22.77      1  31        1         0
#> 89.1  11.44      1  NA        0         0
#> 114.1 13.68      1  NA        0         0
#> 130   16.47      1  53        0         1
#> 29    15.45      1  68        1         0
#> 124    9.73      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 86.1  23.81      1  58        0         1
#> 189   10.51      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 157   15.10      1  47        0         0
#> 187.2  9.92      1  39        1         0
#> 101    9.97      1  10        0         1
#> 114.2 13.68      1  NA        0         0
#> 50    10.02      1  NA        1         0
#> 4.2   17.64      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 123.1 13.00      1  44        1         0
#> 99    21.19      1  38        0         1
#> 61    10.12      1  36        0         1
#> 169.1 22.41      1  46        0         0
#> 125   15.65      1  67        1         0
#> 41.1  18.02      1  40        1         0
#> 128   20.35      1  35        0         1
#> 41.2  18.02      1  40        1         0
#> 117   17.46      1  26        0         1
#> 5.1   16.43      1  51        0         1
#> 40.1  18.00      1  28        1         0
#> 114.3 13.68      1  NA        0         0
#> 37.1  12.52      1  57        1         0
#> 58.1  19.34      1  39        0         0
#> 25.1   6.32      1  34        1         0
#> 8     18.43      1  32        0         0
#> 139   21.49      1  63        1         0
#> 158.1 20.14      1  74        1         0
#> 66.1  22.13      1  53        0         0
#> 51.1  18.23      1  83        0         1
#> 57    14.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 29.1  15.45      1  68        1         0
#> 179.1 18.63      1  42        0         0
#> 180.1 14.82      1  37        0         0
#> 5.2   16.43      1  51        0         1
#> 58.2  19.34      1  39        0         0
#> 110   17.56      1  65        0         1
#> 79    16.23      1  54        1         0
#> 55    19.34      1  69        0         1
#> 99.1  21.19      1  38        0         1
#> 69    23.23      1  25        0         1
#> 175.2 21.91      1  43        0         0
#> 4.3   17.64      1  NA        0         1
#> 43.1  12.10      1  61        0         1
#> 26    15.77      1  49        0         1
#> 60    13.15      1  38        1         0
#> 159.1 10.55      1  50        0         1
#> 97    19.14      1  65        0         1
#> 192.1 16.44      1  31        1         0
#> 175.3 21.91      1  43        0         0
#> 179.2 18.63      1  42        0         0
#> 157.1 15.10      1  47        0         0
#> 171   16.57      1  41        0         1
#> 108   18.29      1  39        0         1
#> 140   12.68      1  59        1         0
#> 78.1  23.88      1  43        0         0
#> 128.1 20.35      1  35        0         1
#> 177.1 12.53      1  75        0         0
#> 36.1  21.19      1  48        0         1
#> 141   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 144   24.00      0  28        0         1
#> 54    24.00      0  53        1         0
#> 135   24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 178   24.00      0  52        1         0
#> 21    24.00      0  47        0         0
#> 165   24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 116   24.00      0  58        0         1
#> 65    24.00      0  57        1         0
#> 141.1 24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 151   24.00      0  42        0         0
#> 11    24.00      0  42        0         1
#> 19    24.00      0  57        0         1
#> 75    24.00      0  21        1         0
#> 173   24.00      0  19        0         1
#> 3     24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 165.1 24.00      0  47        0         0
#> 116.1 24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 54.1  24.00      0  53        1         0
#> 46    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 143   24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 54.2  24.00      0  53        1         0
#> 119   24.00      0  17        0         0
#> 185   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 173.1 24.00      0  19        0         1
#> 44.1  24.00      0  56        0         0
#> 174.1 24.00      0  49        1         0
#> 94.1  24.00      0  51        0         1
#> 172   24.00      0  41        0         0
#> 143.1 24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 118   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 176   24.00      0  43        0         1
#> 142.1 24.00      0  53        0         0
#> 141.2 24.00      0  44        1         0
#> 165.2 24.00      0  47        0         0
#> 142.2 24.00      0  53        0         0
#> 193   24.00      0  45        0         1
#> 200   24.00      0  64        0         0
#> 33.1  24.00      0  53        0         0
#> 119.1 24.00      0  17        0         0
#> 98.1  24.00      0  34        1         0
#> 65.1  24.00      0  57        1         0
#> 46.1  24.00      0  71        0         0
#> 20    24.00      0  46        1         0
#> 22.1  24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 119.2 24.00      0  17        0         0
#> 116.2 24.00      0  58        0         1
#> 19.1  24.00      0  57        0         1
#> 12.1  24.00      0  63        0         0
#> 82.1  24.00      0  34        0         0
#> 196   24.00      0  19        0         0
#> 135.1 24.00      0  58        1         0
#> 82.2  24.00      0  34        0         0
#> 142.3 24.00      0  53        0         0
#> 33.2  24.00      0  53        0         0
#> 44.2  24.00      0  56        0         0
#> 112   24.00      0  61        0         0
#> 31    24.00      0  36        0         1
#> 116.3 24.00      0  58        0         1
#> 191   24.00      0  60        0         1
#> 38    24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 161   24.00      0  45        0         0
#> 118.1 24.00      0  44        1         0
#> 19.2  24.00      0  57        0         1
#> 94.2  24.00      0  51        0         1
#> 191.1 24.00      0  60        0         1
#> 121   24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.244          NA        NA      NA
#> 2 age, Cure model          0.00342        NA        NA      NA
#> 3 grade_ii, Cure model     0.0191         NA        NA      NA
#> 4 grade_iii, Cure model    0.616          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00301        NA        NA      NA
#> 2 grade_ii, Survival model   1.12           NA        NA      NA
#> 3 grade_iii, Survival model  0.571          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.244399          0.003421          0.019054          0.615996  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 253.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.244399269      0.003421401      0.019053681      0.615995979 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003009805      1.120761380      0.570913427 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.99061398 0.34660833 0.92030953 0.77074840 0.16315215 0.90954755
#>   [7] 0.45716212 0.87595353 0.10480233 0.39002521 0.20513822 0.57355651
#>  [13] 0.88172363 0.74943156 0.58289634 0.54517733 0.93597776 0.56405982
#>  [19] 0.89316577 0.36141472 0.66264993 0.78417866 0.96659260 0.62745287
#>  [25] 0.93074908 0.31638537 0.94627664 0.82274352 0.28273048 0.68026033
#>  [31] 0.50220053 0.04295489 0.82897629 0.99061398 0.26467060 0.85847804
#>  [37] 0.69709663 0.72015597 0.20513822 0.39002521 0.98112610 0.30066733
#>  [43] 0.76371227 0.83508819 0.04295489 0.16315215 0.96659260 0.84679538
#>  [49] 0.96659260 0.96153648 0.51323766 0.89316577 0.45716212 0.95645835
#>  [55] 0.31638537 0.81650486 0.69709663 0.52424130 0.69709663 0.74218538
#>  [61] 0.78417866 0.72015597 0.92030953 0.58289634 0.98112610 0.65376951
#>  [67] 0.44410574 0.54517733 0.36141472 0.68026033 0.87014199 0.83508819
#>  [73] 0.62745287 0.85847804 0.78417866 0.58289634 0.73487396 0.80370637
#>  [79] 0.58289634 0.45716212 0.24523410 0.39002521 0.93597776 0.81013218
#>  [85] 0.88748967 0.94627664 0.61850382 0.77074840 0.39002521 0.62745287
#>  [91] 0.84679538 0.75660569 0.67151230 0.90413427 0.10480233 0.52424130
#>  [97] 0.90954755 0.45716212 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   127   194    37   192    86   177    36    13    78   175   168   170    81 
#>  3.53 22.40 12.52 16.44 23.81 12.53 21.19 14.34 23.88 21.91 23.72 19.54 14.06 
#>   111    58   158    43   166   123    66    88     5   187   179    56   169 
#> 17.45 19.34 20.14 12.10 19.98 13.00 22.13 18.37 16.43  9.92 18.63 12.21 22.41 
#>   159     6   113    51    32    24   167 127.1    92   180    41    40 168.1 
#> 10.55 15.64 22.86 18.23 20.90 23.89 15.55  3.53 22.92 14.82 18.02 18.00 23.72 
#> 175.1    25    63   130    29  24.1  86.1 187.1   157 187.2   101    68 123.1 
#> 21.91  6.32 22.77 16.47 15.45 23.89 23.81  9.92 15.10  9.92  9.97 20.62 13.00 
#>    99    61 169.1   125  41.1   128  41.2   117   5.1  40.1  37.1  58.1  25.1 
#> 21.19 10.12 22.41 15.65 18.02 20.35 18.02 17.46 16.43 18.00 12.52 19.34  6.32 
#>     8   139 158.1  66.1  51.1    57  29.1 179.1 180.1   5.2  58.2   110    79 
#> 18.43 21.49 20.14 22.13 18.23 14.46 15.45 18.63 14.82 16.43 19.34 17.56 16.23 
#>    55  99.1    69 175.2  43.1    26    60 159.1    97 192.1 175.3 179.2 157.1 
#> 19.34 21.19 23.23 21.91 12.10 15.77 13.15 10.55 19.14 16.44 21.91 18.63 15.10 
#>   171   108   140  78.1 128.1 177.1  36.1   141    44   144    54   135   142 
#> 16.57 18.29 12.68 23.88 20.35 12.53 21.19 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   178    21   165   174   116    65 141.1    83   151    11    19    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173     3     1 165.1 116.1    12  54.1    46    95    22   102   143   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.2   119   185    35     9    74 173.1  44.1 174.1  94.1   172 143.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    33    82   176 142.1 141.2 165.2 142.2   193   200  33.1 119.1  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1  46.1    20  22.1    71 119.2 116.2  19.1  12.1  82.1   196 135.1  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.3  33.2  44.2   112    31 116.3   191    38   122   137   161 118.1  19.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.2 191.1   121   186 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[56]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01389313                0.48390272                0.46656524 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.47779552              0.01880028              0.76252145 
#>   grade_iii, Cure model 
#>              1.57070062 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 188   16.16      1  46        0         1
#> 77     7.27      1  67        0         1
#> 136   21.83      1  43        0         1
#> 55    19.34      1  69        0         1
#> 99    21.19      1  38        0         1
#> 117   17.46      1  26        0         1
#> 43    12.10      1  61        0         1
#> 187    9.92      1  39        1         0
#> 197   21.60      1  69        1         0
#> 175   21.91      1  43        0         0
#> 5     16.43      1  51        0         1
#> 92    22.92      1  47        0         1
#> 96    14.54      1  33        0         1
#> 124    9.73      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 183    9.24      1  67        1         0
#> 158   20.14      1  74        1         0
#> 24    23.89      1  38        0         0
#> 117.1 17.46      1  26        0         1
#> 105   19.75      1  60        0         0
#> 96.1  14.54      1  33        0         1
#> 96.2  14.54      1  33        0         1
#> 26    15.77      1  49        0         1
#> 175.1 21.91      1  43        0         0
#> 37    12.52      1  57        1         0
#> 26.1  15.77      1  49        0         1
#> 134   17.81      1  47        1         0
#> 157   15.10      1  47        0         0
#> 106   16.67      1  49        1         0
#> 171   16.57      1  41        0         1
#> 154   12.63      1  20        1         0
#> 110   17.56      1  65        0         1
#> 117.2 17.46      1  26        0         1
#> 171.1 16.57      1  41        0         1
#> 61    10.12      1  36        0         1
#> 25     6.32      1  34        1         0
#> 134.1 17.81      1  47        1         0
#> 106.1 16.67      1  49        1         0
#> 42    12.43      1  49        0         1
#> 36    21.19      1  48        0         1
#> 190   20.81      1  42        1         0
#> 159   10.55      1  50        0         1
#> 101    9.97      1  10        0         1
#> 149    8.37      1  33        1         0
#> 69    23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 177   12.53      1  75        0         0
#> 133   14.65      1  57        0         0
#> 159.1 10.55      1  50        0         1
#> 10    10.53      1  34        0         0
#> 16     8.71      1  71        0         1
#> 166   19.98      1  48        0         0
#> 36.1  21.19      1  48        0         1
#> 78    23.88      1  43        0         0
#> 111   17.45      1  47        0         1
#> 133.1 14.65      1  57        0         0
#> 41    18.02      1  40        1         0
#> 18    15.21      1  49        1         0
#> 92.1  22.92      1  47        0         1
#> 190.1 20.81      1  42        1         0
#> 157.1 15.10      1  47        0         0
#> 39    15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 124.1  9.73      1  NA        1         0
#> 188.1 16.16      1  46        0         1
#> 86    23.81      1  58        0         1
#> 194   22.40      1  38        0         1
#> 197.1 21.60      1  69        1         0
#> 8     18.43      1  32        0         0
#> 124.2  9.73      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 10.1  10.53      1  34        0         0
#> 100   16.07      1  60        0         0
#> 70     7.38      1  30        1         0
#> 91     5.33      1  61        0         1
#> 14    12.89      1  21        0         0
#> 93    10.33      1  52        0         1
#> 153   21.33      1  55        1         0
#> 29    15.45      1  68        1         0
#> 50    10.02      1  NA        1         0
#> 183.1  9.24      1  67        1         0
#> 57    14.46      1  45        0         1
#> 77.1   7.27      1  67        0         1
#> 68    20.62      1  44        0         0
#> 13    14.34      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 69.1  23.23      1  25        0         1
#> 26.2  15.77      1  49        0         1
#> 183.2  9.24      1  67        1         0
#> 183.3  9.24      1  67        1         0
#> 106.2 16.67      1  49        1         0
#> 183.4  9.24      1  67        1         0
#> 179   18.63      1  42        0         0
#> 167   15.55      1  56        1         0
#> 29.1  15.45      1  68        1         0
#> 45    17.42      1  54        0         1
#> 91.1   5.33      1  61        0         1
#> 52    10.42      1  52        0         1
#> 61.1  10.12      1  36        0         1
#> 24.1  23.89      1  38        0         0
#> 145   10.07      1  65        1         0
#> 77.2   7.27      1  67        0         1
#> 123.1 13.00      1  44        1         0
#> 26.3  15.77      1  49        0         1
#> 100.1 16.07      1  60        0         0
#> 57.1  14.46      1  45        0         1
#> 136.1 21.83      1  43        0         1
#> 96.3  14.54      1  33        0         1
#> 197.2 21.60      1  69        1         0
#> 170.1 19.54      1  43        0         1
#> 179.1 18.63      1  42        0         0
#> 91.2   5.33      1  61        0         1
#> 191   24.00      0  60        0         1
#> 198   24.00      0  66        0         1
#> 173   24.00      0  19        0         1
#> 72    24.00      0  40        0         1
#> 47    24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 12    24.00      0  63        0         0
#> 3     24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 98    24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 34    24.00      0  36        0         0
#> 47.1  24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 172   24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 62    24.00      0  71        0         0
#> 11    24.00      0  42        0         1
#> 121.1 24.00      0  57        1         0
#> 173.1 24.00      0  19        0         1
#> 182   24.00      0  35        0         0
#> 84    24.00      0  39        0         1
#> 31    24.00      0  36        0         1
#> 87    24.00      0  27        0         0
#> 38    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 98.1  24.00      0  34        1         0
#> 132   24.00      0  55        0         0
#> 162   24.00      0  51        0         0
#> 121.2 24.00      0  57        1         0
#> 34.1  24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 12.1  24.00      0  63        0         0
#> 3.1   24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 12.2  24.00      0  63        0         0
#> 9     24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 176   24.00      0  43        0         1
#> 19    24.00      0  57        0         1
#> 146   24.00      0  63        1         0
#> 21    24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 122.1 24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 21.1  24.00      0  47        0         0
#> 64.1  24.00      0  43        0         0
#> 132.1 24.00      0  55        0         0
#> 118   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 144   24.00      0  28        0         1
#> 98.2  24.00      0  34        1         0
#> 176.1 24.00      0  43        0         1
#> 21.2  24.00      0  47        0         0
#> 47.2  24.00      0  38        0         1
#> 72.1  24.00      0  40        0         1
#> 80    24.00      0  41        0         0
#> 162.1 24.00      0  51        0         0
#> 64.2  24.00      0  43        0         0
#> 48    24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 34.2  24.00      0  36        0         0
#> 20    24.00      0  46        1         0
#> 22    24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 116.1 24.00      0  58        0         1
#> 142.1 24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 83    24.00      0   6        0         0
#> 104   24.00      0  50        1         0
#> 112   24.00      0  61        0         0
#> 3.2   24.00      0  31        1         0
#> 65.1  24.00      0  57        1         0
#> 83.1  24.00      0   6        0         0
#> 156.1 24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 71.1  24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 94    24.00      0  51        0         1
#> 80.1  24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 161   24.00      0  45        0         0
#> 143.1 24.00      0  51        0         0
#> 47.3  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.48          NA        NA      NA
#> 2 age, Cure model           0.0188        NA        NA      NA
#> 3 grade_ii, Cure model      0.763         NA        NA      NA
#> 4 grade_iii, Cure model     1.57          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0139        NA        NA      NA
#> 2 grade_ii, Survival model    0.484         NA        NA      NA
#> 3 grade_iii, Survival model   0.467         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.4778            0.0188            0.7625            1.5707  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 246.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.47779552       0.01880028       0.76252145       1.57070062 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01389313       0.48390272       0.46656524 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7624385 0.9774377 0.4678329 0.6345409 0.5396635 0.6912144 0.9044281
#>   [8] 0.9464008 0.4961374 0.4358592 0.7568985 0.3607066 0.8454570 0.6191366
#>  [15] 0.9500677 0.5943283 0.1267019 0.6912144 0.6109993 0.8454570 0.8454570
#>  [22] 0.7837000 0.4358592 0.8963615 0.7837000 0.6709899 0.8272896 0.7226599
#>  [29] 0.7399892 0.8881255 0.6845796 0.6912144 0.7399892 0.9315206 0.9872412
#>  [36] 0.6709899 0.7226599 0.9004143 0.5396635 0.5677448 0.9083941 0.9427082
#>  [43] 0.9706555 0.3103144 0.7512662 0.8922610 0.8364329 0.9083941 0.9161603
#>  [50] 0.9672370 0.6027185 0.5396635 0.2285275 0.7102297 0.8364329 0.6638527
#>  [57] 0.8226580 0.3607066 0.5677448 0.8272896 0.8034934 0.8756592 0.7624385
#>  [64] 0.2769007 0.4185083 0.4961374 0.6565724 0.3998394 0.9161603 0.7731644
#>  [71] 0.9740552 0.9905025 0.8839679 0.9277217 0.5290249 0.8133050 0.9500677
#>  [78] 0.8628470 0.9774377 0.5854974 0.8714145 0.3103144 0.7837000 0.9500677
#>  [85] 0.9500677 0.7226599 0.9500677 0.6420026 0.8084369 0.8133050 0.7165088
#>  [92] 0.9905025 0.9238870 0.9315206 0.1267019 0.9390037 0.9774377 0.8756592
#>  [99] 0.7837000 0.7731644 0.8628470 0.4678329 0.8454570 0.4961374 0.6191366
#> [106] 0.6420026 0.9905025 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   188    77   136    55    99   117    43   187   197   175     5    92    96 
#> 16.16  7.27 21.83 19.34 21.19 17.46 12.10  9.92 21.60 21.91 16.43 22.92 14.54 
#>   170   183   158    24 117.1   105  96.1  96.2    26 175.1    37  26.1   134 
#> 19.54  9.24 20.14 23.89 17.46 19.75 14.54 14.54 15.77 21.91 12.52 15.77 17.81 
#>   157   106   171   154   110 117.2 171.1    61    25 134.1 106.1    42    36 
#> 15.10 16.67 16.57 12.63 17.56 17.46 16.57 10.12  6.32 17.81 16.67 12.43 21.19 
#>   190   159   101   149    69    85   177   133 159.1    10    16   166  36.1 
#> 20.81 10.55  9.97  8.37 23.23 16.44 12.53 14.65 10.55 10.53  8.71 19.98 21.19 
#>    78   111 133.1    41    18  92.1 190.1 157.1    39   123 188.1    86   194 
#> 23.88 17.45 14.65 18.02 15.21 22.92 20.81 15.10 15.59 13.00 16.16 23.81 22.40 
#> 197.1     8    63  10.1   100    70    91    14    93   153    29 183.1    57 
#> 21.60 18.43 22.77 10.53 16.07  7.38  5.33 12.89 10.33 21.33 15.45  9.24 14.46 
#>  77.1    68    13  69.1  26.2 183.2 183.3 106.2 183.4   179   167  29.1    45 
#>  7.27 20.62 14.34 23.23 15.77  9.24  9.24 16.67  9.24 18.63 15.55 15.45 17.42 
#>  91.1    52  61.1  24.1   145  77.2 123.1  26.3 100.1  57.1 136.1  96.3 197.2 
#>  5.33 10.42 10.12 23.89 10.07  7.27 13.00 15.77 16.07 14.46 21.83 14.54 21.60 
#> 170.1 179.1  91.2   191   198   173    72    47    64    12     3   178    98 
#> 19.54 18.63  5.33 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    34  47.1   172   121    82    62    11 121.1 173.1   182    84    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    38    53  98.1   132   162 121.2  34.1   156  12.1   3.1    65  12.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9  62.1   176    19   146    21   122   116 122.1   143  21.1  64.1 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   142   144  98.2 176.1  21.2  47.2  72.1    80 162.1  64.2    48    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.2    20    22    33   138 116.1 142.1   135    83   104   112   3.2  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.1 156.1   165  71.1   102    94  80.1   137   103   161 143.1  47.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[57]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002302825               0.856837360               0.273205982 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.05040308              0.01692035              0.57517999 
#>   grade_iii, Cure model 
#>              0.80340321 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 78    23.88      1  43        0         0
#> 24    23.89      1  38        0         0
#> 180   14.82      1  37        0         0
#> 60    13.15      1  38        1         0
#> 129   23.41      1  53        1         0
#> 92    22.92      1  47        0         1
#> 168   23.72      1  70        0         0
#> 66    22.13      1  53        0         0
#> 58    19.34      1  39        0         0
#> 145   10.07      1  65        1         0
#> 96    14.54      1  33        0         1
#> 154   12.63      1  20        1         0
#> 177   12.53      1  75        0         0
#> 88    18.37      1  47        0         0
#> 159   10.55      1  50        0         1
#> 169   22.41      1  46        0         0
#> 123   13.00      1  44        1         0
#> 114   13.68      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 171   16.57      1  41        0         1
#> 190   20.81      1  42        1         0
#> 66.1  22.13      1  53        0         0
#> 52    10.42      1  52        0         1
#> 134   17.81      1  47        1         0
#> 40    18.00      1  28        1         0
#> 133   14.65      1  57        0         0
#> 158   20.14      1  74        1         0
#> 113   22.86      1  34        0         0
#> 81    14.06      1  34        0         0
#> 57    14.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 188   16.16      1  46        0         1
#> 45    17.42      1  54        0         1
#> 134.1 17.81      1  47        1         0
#> 88.1  18.37      1  47        0         0
#> 69    23.23      1  25        0         1
#> 56    12.21      1  60        0         0
#> 108   18.29      1  39        0         1
#> 16     8.71      1  71        0         1
#> 192   16.44      1  31        1         0
#> 187    9.92      1  39        1         0
#> 110   17.56      1  65        0         1
#> 108.1 18.29      1  39        0         1
#> 106   16.67      1  49        1         0
#> 70     7.38      1  30        1         0
#> 58.1  19.34      1  39        0         0
#> 15    22.68      1  48        0         0
#> 10    10.53      1  34        0         0
#> 129.1 23.41      1  53        1         0
#> 90    20.94      1  50        0         1
#> 5     16.43      1  51        0         1
#> 86    23.81      1  58        0         1
#> 55    19.34      1  69        0         1
#> 197   21.60      1  69        1         0
#> 149    8.37      1  33        1         0
#> 13    14.34      1  54        0         1
#> 183    9.24      1  67        1         0
#> 166   19.98      1  48        0         0
#> 140   12.68      1  59        1         0
#> 86.1  23.81      1  58        0         1
#> 60.1  13.15      1  38        1         0
#> 88.2  18.37      1  47        0         0
#> 90.1  20.94      1  50        0         1
#> 189   10.51      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 169.1 22.41      1  46        0         0
#> 77     7.27      1  67        0         1
#> 125   15.65      1  67        1         0
#> 69.1  23.23      1  25        0         1
#> 90.2  20.94      1  50        0         1
#> 130   16.47      1  53        0         1
#> 56.1  12.21      1  60        0         0
#> 37.1  12.52      1  57        1         0
#> 79.1  16.23      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 36    21.19      1  48        0         1
#> 18    15.21      1  49        1         0
#> 51    18.23      1  83        0         1
#> 26    15.77      1  49        0         1
#> 154.1 12.63      1  20        1         0
#> 49    12.19      1  48        1         0
#> 26.1  15.77      1  49        0         1
#> 136   21.83      1  43        0         1
#> 157   15.10      1  47        0         0
#> 92.1  22.92      1  47        0         1
#> 90.3  20.94      1  50        0         1
#> 60.2  13.15      1  38        1         0
#> 181   16.46      1  45        0         1
#> 197.1 21.60      1  69        1         0
#> 187.1  9.92      1  39        1         0
#> 36.1  21.19      1  48        0         1
#> 81.1  14.06      1  34        0         0
#> 32    20.90      1  37        1         0
#> 37.2  12.52      1  57        1         0
#> 25     6.32      1  34        1         0
#> 25.1   6.32      1  34        1         0
#> 128   20.35      1  35        0         1
#> 167   15.55      1  56        1         0
#> 57.2  14.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 189.1 10.51      1  NA        1         0
#> 190.1 20.81      1  42        1         0
#> 136.1 21.83      1  43        0         1
#> 41    18.02      1  40        1         0
#> 190.2 20.81      1  42        1         0
#> 110.1 17.56      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 55.1  19.34      1  69        0         1
#> 169.2 22.41      1  46        0         0
#> 20    24.00      0  46        1         0
#> 104   24.00      0  50        1         0
#> 116   24.00      0  58        0         1
#> 132   24.00      0  55        0         0
#> 46    24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 173   24.00      0  19        0         1
#> 173.1 24.00      0  19        0         1
#> 143   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 20.1  24.00      0  46        1         0
#> 152.1 24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 72.1  24.00      0  40        0         1
#> 104.1 24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 118   24.00      0  44        1         0
#> 72.2  24.00      0  40        0         1
#> 147   24.00      0  76        1         0
#> 165   24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 178   24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 138   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 20.2  24.00      0  46        1         0
#> 71    24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 98    24.00      0  34        1         0
#> 103   24.00      0  56        1         0
#> 138.1 24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 173.2 24.00      0  19        0         1
#> 126.2 24.00      0  48        0         0
#> 143.1 24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 176   24.00      0  43        0         1
#> 95    24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 7     24.00      0  37        1         0
#> 142.1 24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 53    24.00      0  32        0         1
#> 2.1   24.00      0   9        0         0
#> 174   24.00      0  49        1         0
#> 186   24.00      0  45        1         0
#> 27.1  24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 112   24.00      0  61        0         0
#> 65.1  24.00      0  57        1         0
#> 163.1 24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 196   24.00      0  19        0         0
#> 118.1 24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 176.1 24.00      0  43        0         1
#> 176.2 24.00      0  43        0         1
#> 126.3 24.00      0  48        0         0
#> 120.1 24.00      0  68        0         1
#> 104.2 24.00      0  50        1         0
#> 191.1 24.00      0  60        0         1
#> 182.1 24.00      0  35        0         0
#> 151.1 24.00      0  42        0         0
#> 62    24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 174.1 24.00      0  49        1         0
#> 152.2 24.00      0  36        0         1
#> 178.1 24.00      0  52        1         0
#> 72.3  24.00      0  40        0         1
#> 143.2 24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 160   24.00      0  31        1         0
#> 126.4 24.00      0  48        0         0
#> 7.1   24.00      0  37        1         0
#> 172   24.00      0  41        0         0
#> 75    24.00      0  21        1         0
#> 200   24.00      0  64        0         0
#> 2.2   24.00      0   9        0         0
#> 75.1  24.00      0  21        1         0
#> 165.1 24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.05          NA        NA      NA
#> 2 age, Cure model           0.0169        NA        NA      NA
#> 3 grade_ii, Cure model      0.575         NA        NA      NA
#> 4 grade_iii, Cure model     0.803         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00230        NA        NA      NA
#> 2 grade_ii, Survival model   0.857          NA        NA      NA
#> 3 grade_iii, Survival model  0.273          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.05040           0.01692           0.57518           0.80340  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 259.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.05040308       0.01692035       0.57517999       0.80340321 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002302825      0.856837360      0.273205982 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.03038066 0.01019968 0.72579528 0.79480824 0.10448142 0.15444137
#>   [7] 0.08544857 0.23873542 0.44151460 0.93487682 0.74128366 0.83863605
#>  [13] 0.85271194 0.48733622 0.91454536 0.20300000 0.81690212 0.90775936
#>  [19] 0.61272217 0.38480555 0.23873542 0.92810388 0.56122142 0.55223051
#>  [25] 0.73353444 0.42270197 0.17818932 0.77951521 0.74901525 0.74901525
#>  [31] 0.65463615 0.67065255 0.59560999 0.56122142 0.48733622 0.13002921
#>  [37] 0.88030824 0.51513720 0.96134833 0.63806242 0.94159967 0.57844928
#>  [43] 0.51513720 0.60423297 0.97442023 0.44151460 0.19055227 0.92132274
#>  [49] 0.10448142 0.33235430 0.64635824 0.05259774 0.44151460 0.28781213
#>  [55] 0.96791039 0.77184222 0.95478108 0.43209757 0.82425861 0.05259774
#>  [61] 0.79480824 0.48733622 0.33235430 0.85978847 0.20300000 0.98087836
#>  [67] 0.69460917 0.13002921 0.33235430 0.62118841 0.88030824 0.85978847
#>  [73] 0.65463615 0.47794340 0.31022402 0.71033897 0.53370639 0.67869156
#>  [79] 0.83863605 0.89406949 0.67869156 0.26349018 0.71806286 0.15444137
#>  [85] 0.33235430 0.79480824 0.62963586 0.28781213 0.94159967 0.31022402
#>  [91] 0.77951521 0.37422678 0.85978847 0.98733112 0.98733112 0.41309573
#>  [97] 0.70252121 0.74901525 0.90091812 0.38480555 0.26349018 0.54305914
#> [103] 0.38480555 0.57844928 0.82425861 0.44151460 0.20300000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    78    24   180    60   129    92   168    66    58   145    96   154   177 
#> 23.88 23.89 14.82 13.15 23.41 22.92 23.72 22.13 19.34 10.07 14.54 12.63 12.53 
#>    88   159   169   123   107   171   190  66.1    52   134    40   133   158 
#> 18.37 10.55 22.41 13.00 11.18 16.57 20.81 22.13 10.42 17.81 18.00 14.65 20.14 
#>   113    81    57  57.1    79   188    45 134.1  88.1    69    56   108    16 
#> 22.86 14.06 14.46 14.46 16.23 16.16 17.42 17.81 18.37 23.23 12.21 18.29  8.71 
#>   192   187   110 108.1   106    70  58.1    15    10 129.1    90     5    86 
#> 16.44  9.92 17.56 18.29 16.67  7.38 19.34 22.68 10.53 23.41 20.94 16.43 23.81 
#>    55   197   149    13   183   166   140  86.1  60.1  88.2  90.1    37 169.1 
#> 19.34 21.60  8.37 14.34  9.24 19.98 12.68 23.81 13.15 18.37 20.94 12.52 22.41 
#>    77   125  69.1  90.2   130  56.1  37.1  79.1     8    36    18    51    26 
#>  7.27 15.65 23.23 20.94 16.47 12.21 12.52 16.23 18.43 21.19 15.21 18.23 15.77 
#> 154.1    49  26.1   136   157  92.1  90.3  60.2   181 197.1 187.1  36.1  81.1 
#> 12.63 12.19 15.77 21.83 15.10 22.92 20.94 13.15 16.46 21.60  9.92 21.19 14.06 
#>    32  37.2    25  25.1   128   167  57.2    43 190.1 136.1    41 190.2 110.1 
#> 20.90 12.52  6.32  6.32 20.35 15.55 14.46 12.10 20.81 21.83 18.02 20.81 17.56 
#> 140.1  55.1 169.2    20   104   116   132    46   142    94   173 173.1   143 
#> 12.68 19.34 22.41 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   126    72  20.1 152.1   163  72.1 104.1     9 126.1   119   118  72.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147   165   120    64   178    67   138    65    27  20.2    71   148    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103 138.1    38 173.2 126.2 143.1     2   176    95   151     7 142.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   2.1   174   186  27.1   144   112  65.1 163.1    12   196 118.1   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1 176.2 126.3 120.1 104.2 191.1 182.1 151.1    62    44 174.1 152.2 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.3 143.2    11   160 126.4   7.1   172    75   200   2.2  75.1 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[58]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004409239               0.366085402               0.378953018 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.58498720              0.01252334              0.10454948 
#>   grade_iii, Cure model 
#>              0.29857674 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 36    21.19      1  48        0         1
#> 155   13.08      1  26        0         0
#> 113   22.86      1  34        0         0
#> 29    15.45      1  68        1         0
#> 129   23.41      1  53        1         0
#> 93    10.33      1  52        0         1
#> 129.1 23.41      1  53        1         0
#> 134   17.81      1  47        1         0
#> 37    12.52      1  57        1         0
#> 166   19.98      1  48        0         0
#> 37.1  12.52      1  57        1         0
#> 167   15.55      1  56        1         0
#> 69    23.23      1  25        0         1
#> 42    12.43      1  49        0         1
#> 39    15.59      1  37        0         1
#> 18    15.21      1  49        1         0
#> 36.1  21.19      1  48        0         1
#> 66    22.13      1  53        0         0
#> 139   21.49      1  63        1         0
#> 92    22.92      1  47        0         1
#> 14    12.89      1  21        0         0
#> 88    18.37      1  47        0         0
#> 90    20.94      1  50        0         1
#> 192   16.44      1  31        1         0
#> 157   15.10      1  47        0         0
#> 96    14.54      1  33        0         1
#> 43    12.10      1  61        0         1
#> 150   20.33      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 52    10.42      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 190   20.81      1  42        1         0
#> 167.1 15.55      1  56        1         0
#> 113.1 22.86      1  34        0         0
#> 5     16.43      1  51        0         1
#> 41    18.02      1  40        1         0
#> 110   17.56      1  65        0         1
#> 111   17.45      1  47        0         1
#> 77     7.27      1  67        0         1
#> 153   21.33      1  55        1         0
#> 55    19.34      1  69        0         1
#> 24    23.89      1  38        0         0
#> 187    9.92      1  39        1         0
#> 155.1 13.08      1  26        0         0
#> 199.1 19.81      1  NA        0         1
#> 197   21.60      1  69        1         0
#> 89    11.44      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 129.2 23.41      1  53        1         0
#> 79    16.23      1  54        1         0
#> 133   14.65      1  57        0         0
#> 188   16.16      1  46        0         1
#> 76    19.22      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 76.1  19.22      1  54        0         1
#> 179   18.63      1  42        0         0
#> 111.1 17.45      1  47        0         1
#> 25     6.32      1  34        1         0
#> 188.1 16.16      1  46        0         1
#> 153.1 21.33      1  55        1         0
#> 177   12.53      1  75        0         0
#> 93.1  10.33      1  52        0         1
#> 125   15.65      1  67        1         0
#> 40    18.00      1  28        1         0
#> 130   16.47      1  53        0         1
#> 145   10.07      1  65        1         0
#> 49    12.19      1  48        1         0
#> 51    18.23      1  83        0         1
#> 13    14.34      1  54        0         1
#> 29.1  15.45      1  68        1         0
#> 158   20.14      1  74        1         0
#> 111.2 17.45      1  47        0         1
#> 171   16.57      1  41        0         1
#> 190.1 20.81      1  42        1         0
#> 36.2  21.19      1  48        0         1
#> 96.1  14.54      1  33        0         1
#> 101    9.97      1  10        0         1
#> 136   21.83      1  43        0         1
#> 81    14.06      1  34        0         0
#> 8     18.43      1  32        0         0
#> 4     17.64      1  NA        0         1
#> 18.1  15.21      1  49        1         0
#> 171.1 16.57      1  41        0         1
#> 6     15.64      1  39        0         0
#> 192.1 16.44      1  31        1         0
#> 155.2 13.08      1  26        0         0
#> 129.3 23.41      1  53        1         0
#> 13.1  14.34      1  54        0         1
#> 124.1  9.73      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 5.1   16.43      1  51        0         1
#> 123   13.00      1  44        1         0
#> 199.2 19.81      1  NA        0         1
#> 59.1  10.16      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 183    9.24      1  67        1         0
#> 113.2 22.86      1  34        0         0
#> 32    20.90      1  37        1         0
#> 37.2  12.52      1  57        1         0
#> 133.1 14.65      1  57        0         0
#> 36.3  21.19      1  48        0         1
#> 60    13.15      1  38        1         0
#> 154   12.63      1  20        1         0
#> 111.3 17.45      1  47        0         1
#> 124.2  9.73      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 39.1  15.59      1  37        0         1
#> 123.1 13.00      1  44        1         0
#> 121   24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 132   24.00      0  55        0         0
#> 47    24.00      0  38        0         1
#> 152   24.00      0  36        0         1
#> 121.1 24.00      0  57        1         0
#> 143   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 176   24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 3     24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 17    24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 115   24.00      0  NA        1         0
#> 173   24.00      0  19        0         1
#> 165   24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 22    24.00      0  52        1         0
#> 116   24.00      0  58        0         1
#> 84    24.00      0  39        0         1
#> 83    24.00      0   6        0         0
#> 116.1 24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 19    24.00      0  57        0         1
#> 17.1  24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 80    24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 48    24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 109   24.00      0  48        0         0
#> 162   24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 27.1  24.00      0  63        1         0
#> 141   24.00      0  44        1         0
#> 84.1  24.00      0  39        0         1
#> 152.1 24.00      0  36        0         1
#> 162.1 24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 102   24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 200   24.00      0  64        0         0
#> 178   24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 21.1  24.00      0  47        0         0
#> 11    24.00      0  42        0         1
#> 141.1 24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 173.1 24.00      0  19        0         1
#> 53    24.00      0  32        0         1
#> 198.1 24.00      0  66        0         1
#> 53.1  24.00      0  32        0         1
#> 71    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 98.1  24.00      0  34        1         0
#> 200.1 24.00      0  64        0         0
#> 135.1 24.00      0  58        1         0
#> 20.1  24.00      0  46        1         0
#> 103   24.00      0  56        1         0
#> 176.1 24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 84.2  24.00      0  39        0         1
#> 120   24.00      0  68        0         1
#> 98.2  24.00      0  34        1         0
#> 146   24.00      0  63        1         0
#> 31.1  24.00      0  36        0         1
#> 72.1  24.00      0  40        0         1
#> 31.2  24.00      0  36        0         1
#> 132.1 24.00      0  55        0         0
#> 160.1 24.00      0  31        1         0
#> 80.1  24.00      0  41        0         0
#> 27.2  24.00      0  63        1         0
#> 53.2  24.00      0  32        0         1
#> 185.1 24.00      0  44        1         0
#> 27.3  24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 121.2 24.00      0  57        1         0
#> 104.1 24.00      0  50        1         0
#> 185.2 24.00      0  44        1         0
#> 2.1   24.00      0   9        0         0
#> 82    24.00      0  34        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.585         NA        NA      NA
#> 2 age, Cure model           0.0125        NA        NA      NA
#> 3 grade_ii, Cure model      0.105         NA        NA      NA
#> 4 grade_iii, Cure model     0.299         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00441        NA        NA      NA
#> 2 grade_ii, Survival model   0.366          NA        NA      NA
#> 3 grade_iii, Survival model  0.379          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.58499           0.01252           0.10455           0.29858  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 254.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.58498720       0.01252334       0.10454948       0.29857674 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004409239      0.366085402      0.378953018 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.214072452 0.769531006 0.115571321 0.647913140 0.054086978 0.908660579
#>   [7] 0.054086978 0.417212457 0.843960541 0.314960457 0.843960541 0.629144305
#>  [13] 0.093065650 0.871586632 0.610304385 0.666644846 0.214072452 0.147066242
#>  [19] 0.181288305 0.104431354 0.815939569 0.376121992 0.253619177 0.514989330
#>  [25] 0.685291779 0.713512488 0.890150678 0.294455970 0.581644734 0.899413316
#>  [31] 0.274425769 0.629144305 0.115571321 0.534144584 0.396760009 0.427360752
#>  [37] 0.437485797 0.972690533 0.192541743 0.325269705 0.006384382 0.945382113
#>  [43] 0.769531006 0.169970255 0.990910113 0.054086978 0.553186168 0.694703681
#>  [49] 0.562767623 0.335553696 0.505226472 0.335553696 0.355623691 0.437485797
#>  [55] 0.981810521 0.562767623 0.192541743 0.834611899 0.908660579 0.591197472
#>  [61] 0.407021499 0.495426151 0.927001049 0.880876822 0.386442793 0.732191854
#>  [67] 0.647913140 0.304715199 0.437485797 0.475959786 0.274425769 0.214072452
#>  [73] 0.713512488 0.936209523 0.158604218 0.750799446 0.365853942 0.666644846
#>  [79] 0.475959786 0.600738926 0.514989330 0.769531006 0.054086978 0.732191854
#>  [85] 0.037863208 0.534144584 0.797359349 0.020827213 0.963563089 0.115571321
#>  [91] 0.264068548 0.843960541 0.694703681 0.214072452 0.760177896 0.825292650
#>  [97] 0.437485797 0.945382113 0.610304385 0.797359349 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    36   155   113    29   129    93 129.1   134    37   166  37.1   167    69 
#> 21.19 13.08 22.86 15.45 23.41 10.33 23.41 17.81 12.52 19.98 12.52 15.55 23.23 
#>    42    39    18  36.1    66   139    92    14    88    90   192   157    96 
#> 12.43 15.59 15.21 21.19 22.13 21.49 22.92 12.89 18.37 20.94 16.44 15.10 14.54 
#>    43   150   100    52   190 167.1 113.1     5    41   110   111    77   153 
#> 12.10 20.33 16.07 10.42 20.81 15.55 22.86 16.43 18.02 17.56 17.45  7.27 21.33 
#>    55    24   187 155.1   197    91 129.2    79   133   188    76   181  76.1 
#> 19.34 23.89  9.92 13.08 21.60  5.33 23.41 16.23 14.65 16.16 19.22 16.46 19.22 
#>   179 111.1    25 188.1 153.1   177  93.1   125    40   130   145    49    51 
#> 18.63 17.45  6.32 16.16 21.33 12.53 10.33 15.65 18.00 16.47 10.07 12.19 18.23 
#>    13  29.1   158 111.2   171 190.1  36.2  96.1   101   136    81     8  18.1 
#> 14.34 15.45 20.14 17.45 16.57 20.81 21.19 14.54  9.97 21.83 14.06 18.43 15.21 
#> 171.1     6 192.1 155.2 129.3  13.1    86   5.1   123    78   183 113.2    32 
#> 16.57 15.64 16.44 13.08 23.41 14.34 23.81 16.43 13.00 23.88  9.24 22.86 20.90 
#>  37.2 133.1  36.3    60   154 111.3 187.1  39.1 123.1   121    94   198   132 
#> 12.52 14.65 21.19 13.15 12.63 17.45  9.92 15.59 13.00 24.00 24.00 24.00 24.00 
#>    47   152 121.1   143    87   176    27     3   160    46   135    17   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165    20    22   116    84    83 116.1   122   104    28    19  17.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80    72    48  28.1   109   162    98  27.1   141  84.1 152.1 162.1     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   185   148   200   178   191  21.1    11 141.1   182 173.1    53 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1    71    31  98.1 200.1 135.1  20.1   103 176.1     9  84.2   120  98.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146  31.1  72.1  31.2 132.1 160.1  80.1  27.2  53.2 185.1  27.3   144 121.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1 185.2   2.1    82 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[59]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01395365                0.17733282                0.28475720 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.77515397              0.01537562             -0.07264795 
#>   grade_iii, Cure model 
#>              0.78009684 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 154   12.63      1  20        1         0
#> 16     8.71      1  71        0         1
#> 181   16.46      1  45        0         1
#> 167   15.55      1  56        1         0
#> 153   21.33      1  55        1         0
#> 101    9.97      1  10        0         1
#> 97    19.14      1  65        0         1
#> 16.1   8.71      1  71        0         1
#> 39    15.59      1  37        0         1
#> 32    20.90      1  37        1         0
#> 166   19.98      1  48        0         0
#> 96    14.54      1  33        0         1
#> 25     6.32      1  34        1         0
#> 167.1 15.55      1  56        1         0
#> 4     17.64      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 108   18.29      1  39        0         1
#> 145   10.07      1  65        1         0
#> 97.1  19.14      1  65        0         1
#> 177   12.53      1  75        0         0
#> 86    23.81      1  58        0         1
#> 5     16.43      1  51        0         1
#> 5.1   16.43      1  51        0         1
#> 129   23.41      1  53        1         0
#> 158   20.14      1  74        1         0
#> 89    11.44      1  NA        0         0
#> 114.1 13.68      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 107   11.18      1  54        1         0
#> 169   22.41      1  46        0         0
#> 195   11.76      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 63    22.77      1  31        1         0
#> 113   22.86      1  34        0         0
#> 195.1 11.76      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 96.1  14.54      1  33        0         1
#> 79    16.23      1  54        1         0
#> 99    21.19      1  38        0         1
#> 130   16.47      1  53        0         1
#> 187    9.92      1  39        1         0
#> 16.2   8.71      1  71        0         1
#> 39.1  15.59      1  37        0         1
#> 37    12.52      1  57        1         0
#> 4.1   17.64      1  NA        0         1
#> 150   20.33      1  48        0         0
#> 194   22.40      1  38        0         1
#> 57    14.46      1  45        0         1
#> 63.1  22.77      1  31        1         0
#> 145.1 10.07      1  65        1         0
#> 175   21.91      1  43        0         0
#> 177.1 12.53      1  75        0         0
#> 29    15.45      1  68        1         0
#> 101.1  9.97      1  10        0         1
#> 175.1 21.91      1  43        0         0
#> 61.1  10.12      1  36        0         1
#> 89.1  11.44      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 133   14.65      1  57        0         0
#> 181.1 16.46      1  45        0         1
#> 111   17.45      1  47        0         1
#> 90    20.94      1  50        0         1
#> 129.1 23.41      1  53        1         0
#> 37.1  12.52      1  57        1         0
#> 184   17.77      1  38        0         0
#> 50    10.02      1  NA        1         0
#> 177.2 12.53      1  75        0         0
#> 190   20.81      1  42        1         0
#> 194.1 22.40      1  38        0         1
#> 5.2   16.43      1  51        0         1
#> 85    16.44      1  36        0         0
#> 111.1 17.45      1  47        0         1
#> 180   14.82      1  37        0         0
#> 107.1 11.18      1  54        1         0
#> 157   15.10      1  47        0         0
#> 51    18.23      1  83        0         1
#> 177.3 12.53      1  75        0         0
#> 150.1 20.33      1  48        0         0
#> 10    10.53      1  34        0         0
#> 89.2  11.44      1  NA        0         0
#> 153.1 21.33      1  55        1         0
#> 15    22.68      1  48        0         0
#> 195.2 11.76      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 69    23.23      1  25        0         1
#> 134   17.81      1  47        1         0
#> 100   16.07      1  60        0         0
#> 100.1 16.07      1  60        0         0
#> 8     18.43      1  32        0         0
#> 58    19.34      1  39        0         0
#> 59.1  10.16      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 15.1  22.68      1  48        0         0
#> 39.2  15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 49    12.19      1  48        1         0
#> 133.1 14.65      1  57        0         0
#> 30    17.43      1  78        0         0
#> 14    12.89      1  21        0         0
#> 97.2  19.14      1  65        0         1
#> 108.1 18.29      1  39        0         1
#> 8.1   18.43      1  32        0         0
#> 195.3 11.76      1  NA        1         0
#> 177.4 12.53      1  75        0         0
#> 24    23.89      1  38        0         0
#> 184.1 17.77      1  38        0         0
#> 5.3   16.43      1  51        0         1
#> 52    10.42      1  52        0         1
#> 167.2 15.55      1  56        1         0
#> 8.2   18.43      1  32        0         0
#> 75    24.00      0  21        1         0
#> 75.1  24.00      0  21        1         0
#> 33    24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 21    24.00      0  47        0         0
#> 67.1  24.00      0  25        0         0
#> 3     24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 38    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 161   24.00      0  45        0         0
#> 33.1  24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 95    24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 148   24.00      0  61        1         0
#> 131   24.00      0  66        0         0
#> 95.1  24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 73    24.00      0  NA        0         1
#> 132   24.00      0  55        0         0
#> 95.2  24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 73.1  24.00      0  NA        0         1
#> 165   24.00      0  47        0         0
#> 44    24.00      0  56        0         0
#> 48.1  24.00      0  31        1         0
#> 17.1  24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 147   24.00      0  76        1         0
#> 118   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 19    24.00      0  57        0         1
#> 22    24.00      0  52        1         0
#> 75.2  24.00      0  21        1         0
#> 54    24.00      0  53        1         0
#> 104   24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 185.1 24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 152   24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 7.1   24.00      0  37        1         0
#> 163   24.00      0  66        0         0
#> 137.1 24.00      0  45        1         0
#> 17.2  24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 102   24.00      0  49        0         0
#> 147.1 24.00      0  76        1         0
#> 84    24.00      0  39        0         1
#> 95.3  24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 22.1  24.00      0  52        1         0
#> 2     24.00      0   9        0         0
#> 67.2  24.00      0  25        0         0
#> 196   24.00      0  19        0         0
#> 165.1 24.00      0  47        0         0
#> 95.4  24.00      0  68        0         1
#> 2.1   24.00      0   9        0         0
#> 12    24.00      0  63        0         0
#> 35    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 2.2   24.00      0   9        0         0
#> 38.1  24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 115   24.00      0  NA        1         0
#> 144   24.00      0  28        0         1
#> 152.1 24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 84.1  24.00      0  39        0         1
#> 71.1  24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 102.1 24.00      0  49        0         0
#> 132.2 24.00      0  55        0         0
#> 62.1  24.00      0  71        0         0
#> 3.1   24.00      0  31        1         0
#> 33.2  24.00      0  53        0         0
#> 35.1  24.00      0  51        0         0
#> 138.2 24.00      0  44        1         0
#> 73.2  24.00      0  NA        0         1
#> 67.3  24.00      0  25        0         0
#> 172   24.00      0  41        0         0
#> 118.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.775         NA        NA      NA
#> 2 age, Cure model           0.0154        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0726        NA        NA      NA
#> 4 grade_iii, Cure model     0.780         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0140        NA        NA      NA
#> 2 grade_ii, Survival model    0.177         NA        NA      NA
#> 3 grade_iii, Survival model   0.285         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.77515           0.01538          -0.07265           0.78010  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    251.2 
#> Residual Deviance: 242.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.77515397       0.01537562      -0.07264795       0.78009684 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01395365       0.17733282       0.28475720 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.88311757 0.98275184 0.72663889 0.80685778 0.45574363 0.96927796
#>   [7] 0.59559058 0.98275184 0.78937171 0.51480885 0.56692885 0.85128753
#>  [13] 0.99568678 0.80685778 0.86730870 0.64520848 0.96024345 0.59559058
#>  [19] 0.88834923 0.19766996 0.74651979 0.74651979 0.23050184 0.55702335
#>  [25] 0.14880347 0.92744121 0.38410005 0.57667198 0.31586630 0.29549811
#>  [31] 0.95103942 0.85128753 0.77117898 0.48050807 0.71979126 0.97826819
#>  [37] 0.98275184 0.78937171 0.91288217 0.53653905 0.40010837 0.86199009
#>  [43] 0.31586630 0.96024345 0.42866694 0.88834923 0.82375490 0.96927796
#>  [49] 0.42866694 0.95103942 0.48050807 0.84043394 0.72663889 0.69133602
#>  [55] 0.50357508 0.23050184 0.91288217 0.67645521 0.88834923 0.52580252
#>  [61] 0.40010837 0.74651979 0.73989877 0.69133602 0.83490242 0.92744121
#>  [67] 0.82934601 0.66114257 0.88834923 0.53653905 0.94166407 0.45574363
#>  [73] 0.35155623 0.93694179 0.27424139 0.66885587 0.77734247 0.77734247
#>  [79] 0.62067846 0.58618647 0.71282534 0.35155623 0.78937171 0.87260758
#>  [85] 0.92260233 0.84043394 0.70573297 0.87786793 0.59559058 0.64520848
#>  [91] 0.62067846 0.88834923 0.08261258 0.67645521 0.74651979 0.94637203
#>  [97] 0.80685778 0.62067846 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000
#> 
#> $Time
#>   154    16   181   167   153   101    97  16.1    39    32   166    96    25 
#> 12.63  8.71 16.46 15.55 21.33  9.97 19.14  8.71 15.59 20.90 19.98 14.54  6.32 
#> 167.1    81   108   145  97.1   177    86     5   5.1   129   158    78   107 
#> 15.55 14.06 18.29 10.07 19.14 12.53 23.81 16.43 16.43 23.41 20.14 23.88 11.18 
#>   169   170    63   113    61  96.1    79    99   130   187  16.2  39.1    37 
#> 22.41 19.54 22.77 22.86 10.12 14.54 16.23 21.19 16.47  9.92  8.71 15.59 12.52 
#>   150   194    57  63.1 145.1   175 177.1    29 101.1 175.1  61.1    36   133 
#> 20.33 22.40 14.46 22.77 10.07 21.91 12.53 15.45  9.97 21.91 10.12 21.19 14.65 
#> 181.1   111    90 129.1  37.1   184 177.2   190 194.1   5.2    85 111.1   180 
#> 16.46 17.45 20.94 23.41 12.52 17.77 12.53 20.81 22.40 16.43 16.44 17.45 14.82 
#> 107.1   157    51 177.3 150.1    10 153.1    15   159    69   134   100 100.1 
#> 11.18 15.10 18.23 12.53 20.33 10.53 21.33 22.68 10.55 23.23 17.81 16.07 16.07 
#>     8    58    45  15.1  39.2   123    49 133.1    30    14  97.2 108.1   8.1 
#> 18.43 19.34 17.42 22.68 15.59 13.00 12.19 14.65 17.43 12.89 19.14 18.29 18.43 
#> 177.4    24 184.1   5.3    52 167.2   8.2    75  75.1    33    67    21  67.1 
#> 12.53 23.89 17.77 16.43 10.42 15.55 18.43 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3    48    87    38    64   161  33.1    34    95   185     7   148   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1    62   173   132  95.2   138    17    98   165    44  48.1  17.1    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147   118     1    19    22  75.2    54   104    46 185.1   137   152   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1   163 137.1  17.2   135   102 147.1    84  95.3    71  22.1     2  67.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196 165.1  95.4   2.1    12    35    31   2.2  38.1 132.1   144 152.1 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1  71.1   191 102.1 132.2  62.1   3.1  33.2  35.1 138.2  67.3   172 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[60]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008162726               0.745431663               0.350111641 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.703227347             0.004895239             0.685457107 
#>   grade_iii, Cure model 
#>             1.412146859 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 76    19.22      1  54        0         1
#> 10    10.53      1  34        0         0
#> 188   16.16      1  46        0         1
#> 93    10.33      1  52        0         1
#> 8     18.43      1  32        0         0
#> 18    15.21      1  49        1         0
#> 36    21.19      1  48        0         1
#> 81    14.06      1  34        0         0
#> 66    22.13      1  53        0         0
#> 16     8.71      1  71        0         1
#> 114   13.68      1  NA        0         0
#> 49    12.19      1  48        1         0
#> 99    21.19      1  38        0         1
#> 42    12.43      1  49        0         1
#> 29    15.45      1  68        1         0
#> 130   16.47      1  53        0         1
#> 149    8.37      1  33        1         0
#> 101    9.97      1  10        0         1
#> 134   17.81      1  47        1         0
#> 134.1 17.81      1  47        1         0
#> 164   23.60      1  76        0         1
#> 25     6.32      1  34        1         0
#> 130.1 16.47      1  53        0         1
#> 63    22.77      1  31        1         0
#> 107   11.18      1  54        1         0
#> 158   20.14      1  74        1         0
#> 42.1  12.43      1  49        0         1
#> 13    14.34      1  54        0         1
#> 105   19.75      1  60        0         0
#> 40    18.00      1  28        1         0
#> 57    14.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 123   13.00      1  44        1         0
#> 105.1 19.75      1  60        0         0
#> 167   15.55      1  56        1         0
#> 106   16.67      1  49        1         0
#> 16.1   8.71      1  71        0         1
#> 199   19.81      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 18.1  15.21      1  49        1         0
#> 55    19.34      1  69        0         1
#> 130.2 16.47      1  53        0         1
#> 194   22.40      1  38        0         1
#> 88    18.37      1  47        0         0
#> 125   15.65      1  67        1         0
#> 149.1  8.37      1  33        1         0
#> 58.1  19.34      1  39        0         0
#> 39    15.59      1  37        0         1
#> 55.1  19.34      1  69        0         1
#> 140.1 12.68      1  59        1         0
#> 24    23.89      1  38        0         0
#> 184   17.77      1  38        0         0
#> 93.1  10.33      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 52    10.42      1  52        0         1
#> 36.1  21.19      1  48        0         1
#> 81.1  14.06      1  34        0         0
#> 23    16.92      1  61        0         0
#> 171   16.57      1  41        0         1
#> 16.2   8.71      1  71        0         1
#> 150   20.33      1  48        0         0
#> 51    18.23      1  83        0         1
#> 40.1  18.00      1  28        1         0
#> 68    20.62      1  44        0         0
#> 59    10.16      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 136.1 21.83      1  43        0         1
#> 154   12.63      1  20        1         0
#> 139   21.49      1  63        1         0
#> 108   18.29      1  39        0         1
#> 158.1 20.14      1  74        1         0
#> 14    12.89      1  21        0         0
#> 49.1  12.19      1  48        1         0
#> 192   16.44      1  31        1         0
#> 25.1   6.32      1  34        1         0
#> 30    17.43      1  78        0         0
#> 77     7.27      1  67        0         1
#> 86    23.81      1  58        0         1
#> 188.1 16.16      1  46        0         1
#> 124.1  9.73      1  NA        1         0
#> 25.2   6.32      1  34        1         0
#> 192.1 16.44      1  31        1         0
#> 134.2 17.81      1  47        1         0
#> 155   13.08      1  26        0         0
#> 92    22.92      1  47        0         1
#> 123.1 13.00      1  44        1         0
#> 181   16.46      1  45        0         1
#> 155.1 13.08      1  26        0         0
#> 197   21.60      1  69        1         0
#> 134.3 17.81      1  47        1         0
#> 4     17.64      1  NA        0         1
#> 130.3 16.47      1  53        0         1
#> 167.1 15.55      1  56        1         0
#> 93.2  10.33      1  52        0         1
#> 51.1  18.23      1  83        0         1
#> 16.3   8.71      1  71        0         1
#> 59.1  10.16      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 177   12.53      1  75        0         0
#> 86.1  23.81      1  58        0         1
#> 101.1  9.97      1  10        0         1
#> 128   20.35      1  35        0         1
#> 164.1 23.60      1  76        0         1
#> 153   21.33      1  55        1         0
#> 91     5.33      1  61        0         1
#> 78    23.88      1  43        0         0
#> 128.1 20.35      1  35        0         1
#> 24.1  23.89      1  38        0         0
#> 29.1  15.45      1  68        1         0
#> 192.2 16.44      1  31        1         0
#> 30.1  17.43      1  78        0         0
#> 141   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 12    24.00      0  63        0         0
#> 143   24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 22    24.00      0  52        1         0
#> 115.1 24.00      0  NA        1         0
#> 161   24.00      0  45        0         0
#> 173   24.00      0  19        0         1
#> 142   24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 12.1  24.00      0  63        0         0
#> 162   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 102   24.00      0  49        0         0
#> 67    24.00      0  25        0         0
#> 131   24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 152   24.00      0  36        0         1
#> 22.1  24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 9     24.00      0  31        1         0
#> 162.1 24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 22.2  24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 64.1  24.00      0  43        0         0
#> 54    24.00      0  53        1         0
#> 143.1 24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 112   24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 160.1 24.00      0  31        1         0
#> 80.1  24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 152.1 24.00      0  36        0         1
#> 53.1  24.00      0  32        0         1
#> 104   24.00      0  50        1         0
#> 104.1 24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 121   24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 62    24.00      0  71        0         0
#> 3     24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 21.1  24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 182.1 24.00      0  35        0         0
#> 143.2 24.00      0  51        0         0
#> 53.2  24.00      0  32        0         1
#> 27    24.00      0  63        1         0
#> 137.1 24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 95.1  24.00      0  68        0         1
#> 9.1   24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 48    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 33.1  24.00      0  53        0         0
#> 173.1 24.00      0  19        0         1
#> 176   24.00      0  43        0         1
#> 104.2 24.00      0  50        1         0
#> 121.1 24.00      0  57        1         0
#> 104.3 24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 122   24.00      0  66        0         0
#> 116.1 24.00      0  58        0         1
#> 135   24.00      0  58        1         0
#> 34    24.00      0  36        0         0
#> 71.1  24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 137.2 24.00      0  45        1         0
#> 143.3 24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 94.1  24.00      0  51        0         1
#> 163.1 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.703          NA        NA      NA
#> 2 age, Cure model          0.00490        NA        NA      NA
#> 3 grade_ii, Cure model     0.685          NA        NA      NA
#> 4 grade_iii, Cure model    1.41           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00816        NA        NA      NA
#> 2 grade_ii, Survival model   0.745          NA        NA      NA
#> 3 grade_iii, Survival model  0.350          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.703227          0.004895          0.685457          1.412147  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 247.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.703227347      0.004895239      0.685457107      1.412146859 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008162726      0.745431663      0.350111641 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.305705286 0.836100928 0.572760983 0.854558076 0.315991731 0.649381152
#>   [7] 0.153637729 0.686891553 0.094650852 0.900306200 0.808529823 0.153637729
#>  [13] 0.789980314 0.630475750 0.485753109 0.936808975 0.882019644 0.388411567
#>  [19] 0.388411567 0.044479324 0.964189857 0.485753109 0.074923551 0.826900566
#>  [25] 0.218696916 0.789980314 0.677471200 0.247120416 0.368236594 0.668062191
#>  [31] 0.266698152 0.724659973 0.247120416 0.611450774 0.465746863 0.900306200
#>  [37] 0.752791648 0.649381152 0.266698152 0.485753109 0.084809890 0.326355754
#>  [43] 0.592064739 0.936808975 0.266698152 0.601761601 0.266698152 0.752791648
#>  [49] 0.004318246 0.426057657 0.854558076 0.534835657 0.845325892 0.153637729
#>  [55] 0.686891553 0.455652645 0.475751618 0.900306200 0.208990427 0.347285258
#>  [61] 0.368236594 0.180654075 0.104865437 0.104865437 0.771392708 0.134288481
#>  [67] 0.336825739 0.218696916 0.743362174 0.808529823 0.534835657 0.964189857
#>  [73] 0.435857906 0.955023208 0.026768470 0.572760983 0.964189857 0.534835657
#>  [79] 0.388411567 0.705727437 0.064135267 0.724659973 0.524788786 0.705727437
#>  [85] 0.124313275 0.388411567 0.485753109 0.611450774 0.854558076 0.347285258
#>  [91] 0.900306200 0.237433268 0.780661182 0.026768470 0.882019644 0.190303034
#>  [97] 0.044479324 0.144075028 0.990977743 0.016886674 0.190303034 0.004318246
#> [103] 0.630475750 0.534835657 0.435857906 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    76    10   188    93     8    18    36    81    66    16    49    99    42 
#> 19.22 10.53 16.16 10.33 18.43 15.21 21.19 14.06 22.13  8.71 12.19 21.19 12.43 
#>    29   130   149   101   134 134.1   164    25 130.1    63   107   158  42.1 
#> 15.45 16.47  8.37  9.97 17.81 17.81 23.60  6.32 16.47 22.77 11.18 20.14 12.43 
#>    13   105    40    57    58   123 105.1   167   106  16.1   140  18.1    55 
#> 14.34 19.75 18.00 14.46 19.34 13.00 19.75 15.55 16.67  8.71 12.68 15.21 19.34 
#> 130.2   194    88   125 149.1  58.1    39  55.1 140.1    24   184  93.1    85 
#> 16.47 22.40 18.37 15.65  8.37 19.34 15.59 19.34 12.68 23.89 17.77 10.33 16.44 
#>    52  36.1  81.1    23   171  16.2   150    51  40.1    68   136 136.1   154 
#> 10.42 21.19 14.06 16.92 16.57  8.71 20.33 18.23 18.00 20.62 21.83 21.83 12.63 
#>   139   108 158.1    14  49.1   192  25.1    30    77    86 188.1  25.2 192.1 
#> 21.49 18.29 20.14 12.89 12.19 16.44  6.32 17.43  7.27 23.81 16.16  6.32 16.44 
#> 134.2   155    92 123.1   181 155.1   197 134.3 130.3 167.1  93.2  51.1  16.3 
#> 17.81 13.08 22.92 13.00 16.46 13.08 21.60 17.81 16.47 15.55 10.33 18.23  8.71 
#>   166   177  86.1 101.1   128 164.1   153    91    78 128.1  24.1  29.1 192.2 
#> 19.98 12.53 23.81  9.97 20.35 23.60 21.33  5.33 23.88 20.35 23.89 15.45 16.44 
#>  30.1   141   147    12   143    22   161   173   142    35   182  12.1   162 
#> 17.43 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21    94   102    67   131   116   152  22.1    53     9 162.1    80  22.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160    74    64  64.1    54 143.1   185   137   200   112    20   163    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 160.1  80.1    87 152.1  53.1   104 104.1   146   121    28    62     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2  21.1   126 182.1 143.2  53.2    27 137.1    71    47  95.1   9.1   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   132    48   119  33.1 173.1   176 104.2 121.1 104.3   193   122 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    34  71.1   178 137.2 143.3   172  94.1 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[61]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00149294                0.79640083                0.15301094 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.41083380              0.02299208             -0.02337979 
#>   grade_iii, Cure model 
#>              1.39996241 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 140   12.68      1  59        1         0
#> 199   19.81      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 108   18.29      1  39        0         1
#> 30    17.43      1  78        0         0
#> 175   21.91      1  43        0         0
#> 194   22.40      1  38        0         1
#> 155   13.08      1  26        0         0
#> 124    9.73      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 5     16.43      1  51        0         1
#> 101    9.97      1  10        0         1
#> 105   19.75      1  60        0         0
#> 93    10.33      1  52        0         1
#> 23    16.92      1  61        0         0
#> 183    9.24      1  67        1         0
#> 110   17.56      1  65        0         1
#> 194.1 22.40      1  38        0         1
#> 140.1 12.68      1  59        1         0
#> 69    23.23      1  25        0         1
#> 170   19.54      1  43        0         1
#> 15    22.68      1  48        0         0
#> 76    19.22      1  54        0         1
#> 30.1  17.43      1  78        0         0
#> 93.1  10.33      1  52        0         1
#> 111   17.45      1  47        0         1
#> 123   13.00      1  44        1         0
#> 10    10.53      1  34        0         0
#> 76.1  19.22      1  54        0         1
#> 105.1 19.75      1  60        0         0
#> 167   15.55      1  56        1         0
#> 194.2 22.40      1  38        0         1
#> 52    10.42      1  52        0         1
#> 96    14.54      1  33        0         1
#> 181   16.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 57    14.46      1  45        0         1
#> 157   15.10      1  47        0         0
#> 36    21.19      1  48        0         1
#> 50    10.02      1  NA        1         0
#> 18.1  15.21      1  49        1         0
#> 114   13.68      1  NA        0         0
#> 105.2 19.75      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 145.1 10.07      1  65        1         0
#> 111.1 17.45      1  47        0         1
#> 43    12.10      1  61        0         1
#> 6     15.64      1  39        0         0
#> 158   20.14      1  74        1         0
#> 61    10.12      1  36        0         1
#> 43.1  12.10      1  61        0         1
#> 36.1  21.19      1  48        0         1
#> 76.2  19.22      1  54        0         1
#> 194.3 22.40      1  38        0         1
#> 180.1 14.82      1  37        0         0
#> 179   18.63      1  42        0         0
#> 108.1 18.29      1  39        0         1
#> 24    23.89      1  38        0         0
#> 136   21.83      1  43        0         1
#> 76.3  19.22      1  54        0         1
#> 25     6.32      1  34        1         0
#> 68    20.62      1  44        0         0
#> 133   14.65      1  57        0         0
#> 14    12.89      1  21        0         0
#> 168   23.72      1  70        0         0
#> 92    22.92      1  47        0         1
#> 18.2  15.21      1  49        1         0
#> 49    12.19      1  48        1         0
#> 92.1  22.92      1  47        0         1
#> 167.1 15.55      1  56        1         0
#> 61.1  10.12      1  36        0         1
#> 42    12.43      1  49        0         1
#> 140.2 12.68      1  59        1         0
#> 187    9.92      1  39        1         0
#> 32    20.90      1  37        1         0
#> 93.2  10.33      1  52        0         1
#> 127    3.53      1  62        0         1
#> 101.1  9.97      1  10        0         1
#> 164   23.60      1  76        0         1
#> 110.1 17.56      1  65        0         1
#> 117   17.46      1  26        0         1
#> 114.1 13.68      1  NA        0         0
#> 51    18.23      1  83        0         1
#> 189   10.51      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 140.3 12.68      1  59        1         0
#> 181.1 16.46      1  45        0         1
#> 5.1   16.43      1  51        0         1
#> 88    18.37      1  47        0         0
#> 177   12.53      1  75        0         0
#> 41    18.02      1  40        1         0
#> 14.1  12.89      1  21        0         0
#> 61.2  10.12      1  36        0         1
#> 184   17.77      1  38        0         0
#> 49.1  12.19      1  48        1         0
#> 194.4 22.40      1  38        0         1
#> 181.2 16.46      1  45        0         1
#> 97.1  19.14      1  65        0         1
#> 76.4  19.22      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 69.1  23.23      1  25        0         1
#> 190   20.81      1  42        1         0
#> 190.1 20.81      1  42        1         0
#> 158.1 20.14      1  74        1         0
#> 177.1 12.53      1  75        0         0
#> 168.1 23.72      1  70        0         0
#> 189.1 10.51      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 13.1  14.34      1  54        0         1
#> 181.3 16.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 94    24.00      0  51        0         1
#> 2     24.00      0   9        0         0
#> 198   24.00      0  66        0         1
#> 176   24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 143   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 147   24.00      0  76        1         0
#> 72    24.00      0  40        0         1
#> 87    24.00      0  27        0         0
#> 44    24.00      0  56        0         0
#> 119   24.00      0  17        0         0
#> 191   24.00      0  60        0         1
#> 44.1  24.00      0  56        0         0
#> 71    24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 46    24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 73    24.00      0  NA        0         1
#> 64    24.00      0  43        0         0
#> 160   24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 200   24.00      0  64        0         0
#> 178.1 24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 121   24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 132   24.00      0  55        0         0
#> 120   24.00      0  68        0         1
#> 200.1 24.00      0  64        0         0
#> 198.1 24.00      0  66        0         1
#> 126   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 21    24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 95    24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 28    24.00      0  67        1         0
#> 102   24.00      0  49        0         0
#> 84    24.00      0  39        0         1
#> 72.1  24.00      0  40        0         1
#> 31    24.00      0  36        0         1
#> 80    24.00      0  41        0         0
#> 135.1 24.00      0  58        1         0
#> 11    24.00      0  42        0         1
#> 126.1 24.00      0  48        0         0
#> 160.1 24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 160.2 24.00      0  31        1         0
#> 144.1 24.00      0  28        0         1
#> 146   24.00      0  63        1         0
#> 147.1 24.00      0  76        1         0
#> 102.1 24.00      0  49        0         0
#> 1     24.00      0  23        1         0
#> 2.1   24.00      0   9        0         0
#> 165   24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 67    24.00      0  25        0         0
#> 74    24.00      0  43        0         1
#> 2.2   24.00      0   9        0         0
#> 118.1 24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 38    24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 75.1  24.00      0  21        1         0
#> 151.1 24.00      0  42        0         0
#> 109   24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 75.2  24.00      0  21        1         0
#> 48.1  24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 64.1  24.00      0  43        0         0
#> 7.1   24.00      0  37        1         0
#> 33    24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 186   24.00      0  45        1         0
#> 182.1 24.00      0  35        0         0
#> 109.1 24.00      0  48        0         0
#> 7.2   24.00      0  37        1         0
#> 12.1  24.00      0  63        0         0
#> 64.2  24.00      0  43        0         0
#> 141.1 24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 95.1  24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.41          NA        NA      NA
#> 2 age, Cure model           0.0230        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0234        NA        NA      NA
#> 4 grade_iii, Cure model     1.40          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00149        NA        NA      NA
#> 2 grade_ii, Survival model   0.796          NA        NA      NA
#> 3 grade_iii, Survival model  0.153          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.41083           0.02299          -0.02338           1.39996  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 238.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.41083380       0.02299208      -0.02337979       1.39996241 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00149294       0.79640083       0.15301094 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.786222986 0.657367889 0.443726898 0.547207633 0.187758827 0.133439756
#>   [7] 0.752049060 0.405301620 0.611657445 0.953816420 0.310645137 0.890805023
#>  [13] 0.565810781 0.977104165 0.500668238 0.133439756 0.786222986 0.067280014
#>  [19] 0.339444746 0.119604239 0.359147105 0.547207633 0.890805023 0.528673800
#>  [25] 0.760691659 0.874793459 0.359147105 0.310645137 0.639427278 0.133439756
#>  [31] 0.882802083 0.717550881 0.575203651 0.938229222 0.726215396 0.682989290
#>  [37] 0.212582551 0.657367889 0.310645137 0.691646265 0.938229222 0.528673800
#>  [43] 0.858856718 0.630119735 0.291293259 0.914549183 0.858856718 0.212582551
#>  [49] 0.359147105 0.133439756 0.691646265 0.424383853 0.443726898 0.008655384
#>  [55] 0.200206288 0.359147105 0.984781142 0.280749109 0.708874914 0.769229827
#>  [61] 0.024942005 0.093730843 0.657367889 0.842901066 0.093730843 0.639427278
#>  [67] 0.914549183 0.834719530 0.786222986 0.969365999 0.248557751 0.890805023
#>  [73] 0.992392389 0.953816420 0.051665121 0.500668238 0.519295596 0.462791784
#>  [79] 0.734870658 0.786222986 0.575203651 0.611657445 0.434048070 0.818423437
#>  [85] 0.481833624 0.769229827 0.914549183 0.491245950 0.842901066 0.133439756
#>  [91] 0.575203651 0.405301620 0.359147105 0.462791784 0.067280014 0.260105251
#>  [97] 0.260105251 0.291293259 0.818423437 0.024942005 0.349303038 0.734870658
#> [103] 0.575203651 0.236389554 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   140    18   108    30   175   194   155    97     5   101   105    93    23 
#> 12.68 15.21 18.29 17.43 21.91 22.40 13.08 19.14 16.43  9.97 19.75 10.33 16.92 
#>   183   110 194.1 140.1    69   170    15    76  30.1  93.1   111   123    10 
#>  9.24 17.56 22.40 12.68 23.23 19.54 22.68 19.22 17.43 10.33 17.45 13.00 10.53 
#>  76.1 105.1   167 194.2    52    96   181   145    57   157    36  18.1 105.2 
#> 19.22 19.75 15.55 22.40 10.42 14.54 16.46 10.07 14.46 15.10 21.19 15.21 19.75 
#>   180 145.1 111.1    43     6   158    61  43.1  36.1  76.2 194.3 180.1   179 
#> 14.82 10.07 17.45 12.10 15.64 20.14 10.12 12.10 21.19 19.22 22.40 14.82 18.63 
#> 108.1    24   136  76.3    25    68   133    14   168    92  18.2    49  92.1 
#> 18.29 23.89 21.83 19.22  6.32 20.62 14.65 12.89 23.72 22.92 15.21 12.19 22.92 
#> 167.1  61.1    42 140.2   187    32  93.2   127 101.1   164 110.1   117    51 
#> 15.55 10.12 12.43 12.68  9.92 20.90 10.33  3.53  9.97 23.60 17.56 17.46 18.23 
#>    13 140.3 181.1   5.1    88   177    41  14.1  61.2   184  49.1 194.4 181.2 
#> 14.34 12.68 16.46 16.43 18.37 12.53 18.02 12.89 10.12 17.77 12.19 22.40 16.46 
#>  97.1  76.4  51.1  69.1   190 190.1 158.1 177.1 168.1    55  13.1 181.3    90 
#> 19.14 19.22 18.23 23.23 20.81 20.81 20.14 12.53 23.72 19.34 14.34 16.46 20.94 
#>    94     2   198   176    65   143   178   147    72    87    44   119   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1    71    53    46   152    64   160   161   200 178.1    75   121     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141    62   135   132   120 200.1 198.1   126    20    21   118   144    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    28   102    84  72.1    31    80 135.1    11 126.1 160.1    48 160.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1   146 147.1 102.1     1   2.1   165    12    67    74   2.2 118.1  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   151  75.1 151.1   109     7  75.2  48.1 176.1  64.1   7.1    33   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186 182.1 109.1   7.2  12.1  64.2 141.1   196  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[62]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01448405                0.60711855                0.65961209 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.396563441             0.009592431             0.023919449 
#>   grade_iii, Cure model 
#>             0.304303213 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 134   17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 59    10.16      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 32    20.90      1  37        1         0
#> 93    10.33      1  52        0         1
#> 159   10.55      1  50        0         1
#> 57    14.46      1  45        0         1
#> 51    18.23      1  83        0         1
#> 130   16.47      1  53        0         1
#> 195   11.76      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 51.1  18.23      1  83        0         1
#> 199   19.81      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 41    18.02      1  40        1         0
#> 114   13.68      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 18    15.21      1  49        1         0
#> 159.1 10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 110   17.56      1  65        0         1
#> 63    22.77      1  31        1         0
#> 188   16.16      1  46        0         1
#> 180.1 14.82      1  37        0         0
#> 10    10.53      1  34        0         0
#> 96    14.54      1  33        0         1
#> 136   21.83      1  43        0         1
#> 133   14.65      1  57        0         0
#> 187    9.92      1  39        1         0
#> 129   23.41      1  53        1         0
#> 18.1  15.21      1  49        1         0
#> 85    16.44      1  36        0         0
#> 86    23.81      1  58        0         1
#> 51.2  18.23      1  83        0         1
#> 78    23.88      1  43        0         0
#> 180.2 14.82      1  37        0         0
#> 90    20.94      1  50        0         1
#> 117   17.46      1  26        0         1
#> 154   12.63      1  20        1         0
#> 158   20.14      1  74        1         0
#> 36    21.19      1  48        0         1
#> 106   16.67      1  49        1         0
#> 89    11.44      1  NA        0         0
#> 85.1  16.44      1  36        0         0
#> 184   17.77      1  38        0         0
#> 111   17.45      1  47        0         1
#> 159.2 10.55      1  50        0         1
#> 154.1 12.63      1  20        1         0
#> 149.1  8.37      1  33        1         0
#> 168   23.72      1  70        0         0
#> 183    9.24      1  67        1         0
#> 58    19.34      1  39        0         0
#> 5     16.43      1  51        0         1
#> 192   16.44      1  31        1         0
#> 190   20.81      1  42        1         0
#> 105   19.75      1  60        0         0
#> 32.1  20.90      1  37        1         0
#> 140   12.68      1  59        1         0
#> 153   21.33      1  55        1         0
#> 183.1  9.24      1  67        1         0
#> 164   23.60      1  76        0         1
#> 114.1 13.68      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 194   22.40      1  38        0         1
#> 78.1  23.88      1  43        0         0
#> 90.1  20.94      1  50        0         1
#> 79    16.23      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 153.1 21.33      1  55        1         0
#> 60    13.15      1  38        1         0
#> 124    9.73      1  NA        1         0
#> 51.3  18.23      1  83        0         1
#> 100.1 16.07      1  60        0         0
#> 168.1 23.72      1  70        0         0
#> 50    10.02      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 139.1 21.49      1  63        1         0
#> 52    10.42      1  52        0         1
#> 157   15.10      1  47        0         0
#> 181   16.46      1  45        0         1
#> 169   22.41      1  46        0         0
#> 170   19.54      1  43        0         1
#> 154.2 12.63      1  20        1         0
#> 81    14.06      1  34        0         0
#> 113   22.86      1  34        0         0
#> 93.1  10.33      1  52        0         1
#> 159.3 10.55      1  50        0         1
#> 134.1 17.81      1  47        1         0
#> 6     15.64      1  39        0         0
#> 78.2  23.88      1  43        0         0
#> 181.1 16.46      1  45        0         1
#> 140.1 12.68      1  59        1         0
#> 51.4  18.23      1  83        0         1
#> 155   13.08      1  26        0         0
#> 5.1   16.43      1  51        0         1
#> 81.1  14.06      1  34        0         0
#> 123   13.00      1  44        1         0
#> 140.2 12.68      1  59        1         0
#> 57.1  14.46      1  45        0         1
#> 49    12.19      1  48        1         0
#> 197   21.60      1  69        1         0
#> 51.5  18.23      1  83        0         1
#> 79.1  16.23      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 159.4 10.55      1  50        0         1
#> 77     7.27      1  67        0         1
#> 32.2  20.90      1  37        1         0
#> 85.2  16.44      1  36        0         0
#> 15    22.68      1  48        0         0
#> 168.2 23.72      1  70        0         0
#> 156   24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 196   24.00      0  19        0         0
#> 148   24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 141   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 147   24.00      0  76        1         0
#> 176   24.00      0  43        0         1
#> 19.1  24.00      0  57        0         1
#> 3     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 53    24.00      0  32        0         1
#> 22    24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 200   24.00      0  64        0         0
#> 22.1  24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 160.1 24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 116   24.00      0  58        0         1
#> 65    24.00      0  57        1         0
#> 2     24.00      0   9        0         0
#> 196.1 24.00      0  19        0         0
#> 144   24.00      0  28        0         1
#> 147.1 24.00      0  76        1         0
#> 116.1 24.00      0  58        0         1
#> 83    24.00      0   6        0         0
#> 73    24.00      0  NA        0         1
#> 144.1 24.00      0  28        0         1
#> 165   24.00      0  47        0         0
#> 152.1 24.00      0  36        0         1
#> 22.2  24.00      0  52        1         0
#> 165.1 24.00      0  47        0         0
#> 104   24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 72    24.00      0  40        0         1
#> 120   24.00      0  68        0         1
#> 73.1  24.00      0  NA        0         1
#> 121.1 24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 112.2 24.00      0  61        0         0
#> 118   24.00      0  44        1         0
#> 198.1 24.00      0  66        0         1
#> 83.1  24.00      0   6        0         0
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 64.1  24.00      0  43        0         0
#> 46    24.00      0  71        0         0
#> 98.1  24.00      0  34        1         0
#> 135   24.00      0  58        1         0
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 53.1  24.00      0  32        0         1
#> 135.1 24.00      0  58        1         0
#> 160.2 24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 33.1  24.00      0  53        0         0
#> 122.1 24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 72.1  24.00      0  40        0         1
#> 9.1   24.00      0  31        1         0
#> 53.2  24.00      0  32        0         1
#> 82    24.00      0  34        0         0
#> 84    24.00      0  39        0         1
#> 178   24.00      0  52        1         0
#> 165.2 24.00      0  47        0         0
#> 9.2   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 2.1   24.00      0   9        0         0
#> 126   24.00      0  48        0         0
#> 198.2 24.00      0  66        0         1
#> 94    24.00      0  51        0         1
#> 141.1 24.00      0  44        1         0
#> 160.3 24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 200.1 24.00      0  64        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.397          NA        NA      NA
#> 2 age, Cure model          0.00959        NA        NA      NA
#> 3 grade_ii, Cure model     0.0239         NA        NA      NA
#> 4 grade_iii, Cure model    0.304          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0145        NA        NA      NA
#> 2 grade_ii, Survival model    0.607         NA        NA      NA
#> 3 grade_iii, Survival model   0.660         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.396563          0.009592          0.023919          0.304303  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 257.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.396563441      0.009592431      0.023919449      0.304303213 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01448405       0.60711855       0.65961209 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.301396507 0.564848846 0.225756781 0.785844815 0.148284177 0.891678070
#>   [7] 0.809631220 0.622151066 0.235136161 0.373401826 0.951719371 0.235136161
#>  [13] 0.180968037 0.291208903 0.774062567 0.531465587 0.809631220 0.987849979
#>  [19] 0.331888066 0.043963342 0.487777259 0.564848846 0.867671622 0.610517273
#>  [25] 0.074197844 0.598839164 0.915594564 0.030177810 0.531465587 0.404332595
#>  [31] 0.006748160 0.235136161 0.001046136 0.564848846 0.131471308 0.342333508
#>  [37] 0.739353224 0.189638353 0.122850273 0.363024353 0.404332595 0.321522771
#>  [43] 0.352675746 0.809631220 0.739353224 0.951719371 0.010159454 0.927625118
#>  [49] 0.216551722 0.445405057 0.404332595 0.172489207 0.198458599 0.148284177
#>  [55] 0.704024680 0.106252909 0.927625118 0.023751284 0.498529007 0.066343976
#>  [61] 0.001046136 0.131471308 0.466513849 0.106252909 0.668562536 0.235136161
#>  [67] 0.498529007 0.010159454 0.090095408 0.090095408 0.879667531 0.553571146
#>  [73] 0.383808935 0.058382593 0.207512519 0.739353224 0.645194495 0.036818856
#>  [79] 0.891678070 0.809631220 0.301396507 0.520341086 0.001046136 0.383808935
#>  [85] 0.704024680 0.235136161 0.680338366 0.445405057 0.645194495 0.692178508
#>  [91] 0.704024680 0.622151066 0.797730538 0.082021474 0.235136161 0.466513849
#>  [97] 0.809631220 0.975729865 0.148284177 0.404332595 0.050917120 0.010159454
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>   134   180   179    56    32    93   159    57    51   130   149  51.1    68 
#> 17.81 14.82 18.63 12.21 20.90 10.33 10.55 14.46 18.23 16.47  8.37 18.23 20.62 
#>    41    37    18 159.1    91   110    63   188 180.1    10    96   136   133 
#> 18.02 12.52 15.21 10.55  5.33 17.56 22.77 16.16 14.82 10.53 14.54 21.83 14.65 
#>   187   129  18.1    85    86  51.2    78 180.2    90   117   154   158    36 
#>  9.92 23.41 15.21 16.44 23.81 18.23 23.88 14.82 20.94 17.46 12.63 20.14 21.19 
#>   106  85.1   184   111 159.2 154.1 149.1   168   183    58     5   192   190 
#> 16.67 16.44 17.77 17.45 10.55 12.63  8.37 23.72  9.24 19.34 16.43 16.44 20.81 
#>   105  32.1   140   153 183.1   164   100   194  78.1  90.1    79 153.1    60 
#> 19.75 20.90 12.68 21.33  9.24 23.60 16.07 22.40 23.88 20.94 16.23 21.33 13.15 
#>  51.3 100.1 168.1   139 139.1    52   157   181   169   170 154.2    81   113 
#> 18.23 16.07 23.72 21.49 21.49 10.42 15.10 16.46 22.41 19.54 12.63 14.06 22.86 
#>  93.1 159.3 134.1     6  78.2 181.1 140.1  51.4   155   5.1  81.1   123 140.2 
#> 10.33 10.55 17.81 15.64 23.88 16.46 12.68 18.23 13.08 16.43 14.06 13.00 12.68 
#>  57.1    49   197  51.5  79.1 159.4    77  32.2  85.2    15 168.2   156    27 
#> 14.46 12.19 21.60 18.23 16.23 10.55  7.27 20.90 16.44 22.68 23.72 24.00 24.00 
#>   112   196   148    19   141   160 112.1   147   176  19.1     3    47   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    22   146    98   200  22.1   121 160.1   152   198   116    65     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1   144 147.1 116.1    83 144.1   165 152.1  22.2 165.1   104     9    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191    72   120 121.1   109 112.2   118 198.1  83.1   122    21    64  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46  98.1   135    28   138 148.1  53.1 135.1 160.2    95   132  33.1 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62  72.1   9.1  53.2    82    84   178 165.2   9.2   103   2.1   126 198.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94 141.1 160.3    17    67 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[63]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001351376               0.127766948               0.078525223 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.38397932              0.00331342              0.08497947 
#>   grade_iii, Cure model 
#>              1.21857404 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 42    12.43      1  49        0         1
#> 49    12.19      1  48        1         0
#> 190   20.81      1  42        1         0
#> 171   16.57      1  41        0         1
#> 130   16.47      1  53        0         1
#> 32    20.90      1  37        1         0
#> 154   12.63      1  20        1         0
#> 56    12.21      1  60        0         0
#> 159   10.55      1  50        0         1
#> 175   21.91      1  43        0         0
#> 16     8.71      1  71        0         1
#> 170   19.54      1  43        0         1
#> 59    10.16      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 23    16.92      1  61        0         0
#> 13    14.34      1  54        0         1
#> 183    9.24      1  67        1         0
#> 100.1 16.07      1  60        0         0
#> 51    18.23      1  83        0         1
#> 154.1 12.63      1  20        1         0
#> 79    16.23      1  54        1         0
#> 188   16.16      1  46        0         1
#> 134   17.81      1  47        1         0
#> 93    10.33      1  52        0         1
#> 158   20.14      1  74        1         0
#> 199   19.81      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 187    9.92      1  39        1         0
#> 158.1 20.14      1  74        1         0
#> 105   19.75      1  60        0         0
#> 183.1  9.24      1  67        1         0
#> 154.2 12.63      1  20        1         0
#> 10    10.53      1  34        0         0
#> 127    3.53      1  62        0         1
#> 105.1 19.75      1  60        0         0
#> 113   22.86      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 130.1 16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 145   10.07      1  65        1         0
#> 56.1  12.21      1  60        0         0
#> 130.2 16.47      1  53        0         1
#> 133   14.65      1  57        0         0
#> 42.1  12.43      1  49        0         1
#> 90    20.94      1  50        0         1
#> 129   23.41      1  53        1         0
#> 179   18.63      1  42        0         0
#> 57    14.46      1  45        0         1
#> 106   16.67      1  49        1         0
#> 61    10.12      1  36        0         1
#> 164   23.60      1  76        0         1
#> 81    14.06      1  34        0         0
#> 61.1  10.12      1  36        0         1
#> 105.2 19.75      1  60        0         0
#> 97    19.14      1  65        0         1
#> 63    22.77      1  31        1         0
#> 61.2  10.12      1  36        0         1
#> 199.1 19.81      1  NA        0         1
#> 127.1  3.53      1  62        0         1
#> 197   21.60      1  69        1         0
#> 171.1 16.57      1  41        0         1
#> 40    18.00      1  28        1         0
#> 139   21.49      1  63        1         0
#> 134.1 17.81      1  47        1         0
#> 139.1 21.49      1  63        1         0
#> 175.1 21.91      1  43        0         0
#> 155   13.08      1  26        0         0
#> 45    17.42      1  54        0         1
#> 136   21.83      1  43        0         1
#> 70     7.38      1  30        1         0
#> 133.1 14.65      1  57        0         0
#> 189.1 10.51      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 199.2 19.81      1  NA        0         1
#> 189.2 10.51      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 49.1  12.19      1  48        1         0
#> 36    21.19      1  48        0         1
#> 26    15.77      1  49        0         1
#> 183.2  9.24      1  67        1         0
#> 25     6.32      1  34        1         0
#> 26.1  15.77      1  49        0         1
#> 158.2 20.14      1  74        1         0
#> 56.2  12.21      1  60        0         0
#> 10.1  10.53      1  34        0         0
#> 129.1 23.41      1  53        1         0
#> 179.1 18.63      1  42        0         0
#> 69    23.23      1  25        0         1
#> 175.2 21.91      1  43        0         0
#> 189.3 10.51      1  NA        1         0
#> 37.1  12.52      1  57        1         0
#> 59.1  10.16      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 110   17.56      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 39    15.59      1  37        0         1
#> 23.1  16.92      1  61        0         0
#> 189.4 10.51      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 60    13.15      1  38        1         0
#> 111   17.45      1  47        0         1
#> 58    19.34      1  39        0         0
#> 39.1  15.59      1  37        0         1
#> 88    18.37      1  47        0         0
#> 88.1  18.37      1  47        0         0
#> 149    8.37      1  33        1         0
#> 113.1 22.86      1  34        0         0
#> 92    22.92      1  47        0         1
#> 69.1  23.23      1  25        0         1
#> 150   20.33      1  48        0         0
#> 22    24.00      0  52        1         0
#> 22.1  24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 151   24.00      0  42        0         0
#> 142   24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 38    24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 72    24.00      0  40        0         1
#> 160   24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 22.2  24.00      0  52        1         0
#> 1     24.00      0  23        1         0
#> 126   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 35    24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 12    24.00      0  63        0         0
#> 176.1 24.00      0  43        0         1
#> 122   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 34    24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 67.1  24.00      0  25        0         0
#> 9.1   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 2     24.00      0   9        0         0
#> 109   24.00      0  48        0         0
#> 104.1 24.00      0  50        1         0
#> 34.1  24.00      0  36        0         0
#> 28.1  24.00      0  67        1         0
#> 135   24.00      0  58        1         0
#> 122.1 24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 87.1  24.00      0  27        0         0
#> 35.1  24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 178   24.00      0  52        1         0
#> 178.1 24.00      0  52        1         0
#> 163.1 24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 38.1  24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 132   24.00      0  55        0         0
#> 137   24.00      0  45        1         0
#> 12.1  24.00      0  63        0         0
#> 144   24.00      0  28        0         1
#> 95.1  24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 28.2  24.00      0  67        1         0
#> 165   24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 48    24.00      0  31        1         0
#> 95.2  24.00      0  68        0         1
#> 104.2 24.00      0  50        1         0
#> 44    24.00      0  56        0         0
#> 84    24.00      0  39        0         1
#> 156   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 103.1 24.00      0  56        1         0
#> 47.1  24.00      0  38        0         1
#> 137.1 24.00      0  45        1         0
#> 9.2   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 112.2 24.00      0  61        0         0
#> 80    24.00      0  41        0         0
#> 87.2  24.00      0  27        0         0
#> 142.1 24.00      0  53        0         0
#> 132.1 24.00      0  55        0         0
#> 103.2 24.00      0  56        1         0
#> 118.1 24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 47.2  24.00      0  38        0         1
#> 44.1  24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 28.3  24.00      0  67        1         0
#> 7     24.00      0  37        1         0
#> 28.4  24.00      0  67        1         0
#> 27    24.00      0  63        1         0
#> 12.2  24.00      0  63        0         0
#> 198   24.00      0  66        0         1
#> 94    24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.384          NA        NA      NA
#> 2 age, Cure model          0.00331        NA        NA      NA
#> 3 grade_ii, Cure model     0.0850         NA        NA      NA
#> 4 grade_iii, Cure model    1.22           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00135        NA        NA      NA
#> 2 grade_ii, Survival model   0.128          NA        NA      NA
#> 3 grade_iii, Survival model  0.0785         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.383979          0.003313          0.084979          1.218574  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.9 
#> Residual Deviance: 247.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.38397932       0.00331342       0.08497947       1.21857404 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001351376      0.127766948      0.078525223 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.74373733 0.79293250 0.20903408 0.46611604 0.48594065 0.19898866
#>   [7] 0.69458378 0.76345673 0.81267488 0.10055538 0.93095013 0.28677713
#>  [13] 0.53533411 0.43621914 0.65459576 0.90157793 0.53533411 0.35644227
#>  [19] 0.69458378 0.51536038 0.52534881 0.38639155 0.84236795 0.22908321
#>  [25] 0.60480313 0.89166655 0.22908321 0.25780292 0.90157793 0.69458378
#>  [31] 0.82260542 0.98035587 0.25780292 0.07048034 0.48594065 0.61477419
#>  [37] 0.88174658 0.76345673 0.48594065 0.62475315 0.74373733 0.18890217
#>  [43] 0.02135355 0.31680218 0.64459836 0.45608602 0.85230689 0.00766561
#>  [49] 0.66459232 0.85230689 0.25780292 0.30678601 0.09019649 0.85230689
#>  [55] 0.98035587 0.13931580 0.46611604 0.37633532 0.14956684 0.38639155
#>  [61] 0.14956684 0.10055538 0.68458718 0.42620653 0.12903856 0.95073584
#>  [67] 0.62475315 0.35644227 0.72401148 0.79293250 0.16925678 0.55517565
#>  [73] 0.90157793 0.96061482 0.55517565 0.22908321 0.76345673 0.82260542
#>  [79] 0.02135355 0.31680218 0.04077749 0.10055538 0.72401148 0.59482162
#>  [85] 0.40617508 0.97048515 0.57500849 0.43621914 0.16925678 0.67459563
#>  [91] 0.41619262 0.29677290 0.57500849 0.33658615 0.33658615 0.94084750
#>  [97] 0.07048034 0.05997920 0.04077749 0.21904420 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    42    49   190   171   130    32   154    56   159   175    16   170   100 
#> 12.43 12.19 20.81 16.57 16.47 20.90 12.63 12.21 10.55 21.91  8.71 19.54 16.07 
#>    23    13   183 100.1    51 154.1    79   188   134    93   158    18   187 
#> 16.92 14.34  9.24 16.07 18.23 12.63 16.23 16.16 17.81 10.33 20.14 15.21  9.92 
#> 158.1   105 183.1 154.2    10   127 105.1   113 130.1   180   145  56.1 130.2 
#> 20.14 19.75  9.24 12.63 10.53  3.53 19.75 22.86 16.47 14.82 10.07 12.21 16.47 
#>   133  42.1    90   129   179    57   106    61   164    81  61.1 105.2    97 
#> 14.65 12.43 20.94 23.41 18.63 14.46 16.67 10.12 23.60 14.06 10.12 19.75 19.14 
#>    63  61.2 127.1   197 171.1    40   139 134.1 139.1 175.1   155    45   136 
#> 22.77 10.12  3.53 21.60 16.57 18.00 21.49 17.81 21.49 21.91 13.08 17.42 21.83 
#>    70 133.1  51.1    37  49.1    36    26 183.2    25  26.1 158.2  56.2  10.1 
#>  7.38 14.65 18.23 12.52 12.19 21.19 15.77  9.24  6.32 15.77 20.14 12.21 10.53 
#> 129.1 179.1    69 175.2  37.1   167   110    91    39  23.1    99    60   111 
#> 23.41 18.63 23.23 21.91 12.52 15.55 17.56  5.33 15.59 16.92 21.19 13.15 17.45 
#>    58  39.1    88  88.1   149 113.1    92  69.1   150    22  22.1    28   151 
#> 19.34 15.59 18.37 18.37  8.37 22.86 22.92 23.23 20.33 24.00 24.00 24.00 24.00 
#>   142    54    38   176   112    72   160     9    98  22.2     1   126    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    35   161    12 176.1   122   146   163   148    34    87  67.1   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104     2   109 104.1  34.1  28.1   135 122.1   103    47  87.1  35.1    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178 178.1 163.1   118  38.1 112.1   132   137  12.1   144  95.1   186  28.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   200    48  95.2 104.2    44    84   156   143 103.1  47.1 137.1   9.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174 112.2    80  87.2 142.1 132.1 103.2 118.1    17  47.2  44.1   102  28.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7  28.4    27  12.2   198    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[64]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007944391               1.027370937               0.723194667 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.313657209            -0.005652864            -0.254387612 
#>   grade_iii, Cure model 
#>             0.738342010 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 117   17.46      1  26        0         1
#> 77     7.27      1  67        0         1
#> 23    16.92      1  61        0         0
#> 56    12.21      1  60        0         0
#> 24    23.89      1  38        0         0
#> 57    14.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 110   17.56      1  65        0         1
#> 42    12.43      1  49        0         1
#> 166   19.98      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 89.1  11.44      1  NA        0         0
#> 93    10.33      1  52        0         1
#> 167   15.55      1  56        1         0
#> 45    17.42      1  54        0         1
#> 106   16.67      1  49        1         0
#> 15    22.68      1  48        0         0
#> 60    13.15      1  38        1         0
#> 90    20.94      1  50        0         1
#> 107   11.18      1  54        1         0
#> 169   22.41      1  46        0         0
#> 88    18.37      1  47        0         0
#> 105   19.75      1  60        0         0
#> 101    9.97      1  10        0         1
#> 197   21.60      1  69        1         0
#> 167.1 15.55      1  56        1         0
#> 123   13.00      1  44        1         0
#> 134   17.81      1  47        1         0
#> 179   18.63      1  42        0         0
#> 166.1 19.98      1  48        0         0
#> 153   21.33      1  55        1         0
#> 155   13.08      1  26        0         0
#> 170   19.54      1  43        0         1
#> 139   21.49      1  63        1         0
#> 128   20.35      1  35        0         1
#> 37    12.52      1  57        1         0
#> 92    22.92      1  47        0         1
#> 127    3.53      1  62        0         1
#> 52    10.42      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 85    16.44      1  36        0         0
#> 154   12.63      1  20        1         0
#> 117.1 17.46      1  26        0         1
#> 168   23.72      1  70        0         0
#> 15.1  22.68      1  48        0         0
#> 180   14.82      1  37        0         0
#> 81    14.06      1  34        0         0
#> 113   22.86      1  34        0         0
#> 78    23.88      1  43        0         0
#> 69    23.23      1  25        0         1
#> 59    10.16      1  NA        1         0
#> 93.1  10.33      1  52        0         1
#> 66    22.13      1  53        0         0
#> 179.1 18.63      1  42        0         0
#> 199   19.81      1  NA        0         1
#> 133   14.65      1  57        0         0
#> 14    12.89      1  21        0         0
#> 169.2 22.41      1  46        0         0
#> 97    19.14      1  65        0         1
#> 26    15.77      1  49        0         1
#> 110.1 17.56      1  65        0         1
#> 101.1  9.97      1  10        0         1
#> 6     15.64      1  39        0         0
#> 66.1  22.13      1  53        0         0
#> 41    18.02      1  40        1         0
#> 134.1 17.81      1  47        1         0
#> 180.1 14.82      1  37        0         0
#> 76    19.22      1  54        0         1
#> 128.1 20.35      1  35        0         1
#> 13    14.34      1  54        0         1
#> 107.1 11.18      1  54        1         0
#> 158   20.14      1  74        1         0
#> 179.2 18.63      1  42        0         0
#> 145   10.07      1  65        1         0
#> 91     5.33      1  61        0         1
#> 50    10.02      1  NA        1         0
#> 159.1 10.55      1  50        0         1
#> 77.1   7.27      1  67        0         1
#> 6.1   15.64      1  39        0         0
#> 42.1  12.43      1  49        0         1
#> 179.3 18.63      1  42        0         0
#> 70     7.38      1  30        1         0
#> 16     8.71      1  71        0         1
#> 153.1 21.33      1  55        1         0
#> 91.1   5.33      1  61        0         1
#> 179.4 18.63      1  42        0         0
#> 36    21.19      1  48        0         1
#> 88.1  18.37      1  47        0         0
#> 150   20.33      1  48        0         0
#> 136   21.83      1  43        0         1
#> 199.1 19.81      1  NA        0         1
#> 128.2 20.35      1  35        0         1
#> 154.1 12.63      1  20        1         0
#> 70.1   7.38      1  30        1         0
#> 68    20.62      1  44        0         0
#> 89.2  11.44      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 88.2  18.37      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 49    12.19      1  48        1         0
#> 40    18.00      1  28        1         0
#> 169.3 22.41      1  46        0         0
#> 26.1  15.77      1  49        0         1
#> 105.1 19.75      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 42.2  12.43      1  49        0         1
#> 189   10.51      1  NA        1         0
#> 105.2 19.75      1  60        0         0
#> 49.1  12.19      1  48        1         0
#> 24.1  23.89      1  38        0         0
#> 161   24.00      0  45        0         0
#> 20    24.00      0  46        1         0
#> 138   24.00      0  44        1         0
#> 87    24.00      0  27        0         0
#> 34    24.00      0  36        0         0
#> 87.1  24.00      0  27        0         0
#> 20.1  24.00      0  46        1         0
#> 143   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 132   24.00      0  55        0         0
#> 27    24.00      0  63        1         0
#> 11    24.00      0  42        0         1
#> 120   24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 34.1  24.00      0  36        0         0
#> 122   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 104   24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 65    24.00      0  57        1         0
#> 73.1  24.00      0  NA        0         1
#> 178.1 24.00      0  52        1         0
#> 54.1  24.00      0  53        1         0
#> 84    24.00      0  39        0         1
#> 178.2 24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 161.1 24.00      0  45        0         0
#> 147   24.00      0  76        1         0
#> 53    24.00      0  32        0         1
#> 165.1 24.00      0  47        0         0
#> 34.2  24.00      0  36        0         0
#> 83    24.00      0   6        0         0
#> 3     24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 141   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 46    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 156   24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 147.1 24.00      0  76        1         0
#> 182   24.00      0  35        0         0
#> 28    24.00      0  67        1         0
#> 126   24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 54.2  24.00      0  53        1         0
#> 65.1  24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 46.1  24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 141.1 24.00      0  44        1         0
#> 34.3  24.00      0  36        0         0
#> 46.2  24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 200   24.00      0  64        0         0
#> 119   24.00      0  17        0         0
#> 137   24.00      0  45        1         0
#> 11.1  24.00      0  42        0         1
#> 132.1 24.00      0  55        0         0
#> 198   24.00      0  66        0         1
#> 191.1 24.00      0  60        0         1
#> 102   24.00      0  49        0         0
#> 143.1 24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 116.1 24.00      0  58        0         1
#> 141.2 24.00      0  44        1         0
#> 122.1 24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 178.3 24.00      0  52        1         0
#> 34.4  24.00      0  36        0         0
#> 65.2  24.00      0  57        1         0
#> 1.1   24.00      0  23        1         0
#> 44.1  24.00      0  56        0         0
#> 62    24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 72    24.00      0  40        0         1
#> 22.1  24.00      0  52        1         0
#> 102.1 24.00      0  49        0         0
#> 135   24.00      0  58        1         0
#> 47    24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.314          NA        NA      NA
#> 2 age, Cure model         -0.00565        NA        NA      NA
#> 3 grade_ii, Cure model    -0.254          NA        NA      NA
#> 4 grade_iii, Cure model    0.738          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00794        NA        NA      NA
#> 2 grade_ii, Survival model   1.03           NA        NA      NA
#> 3 grade_iii, Survival model  0.723          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.313657         -0.005653         -0.254388          0.738342  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 249.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.313657209     -0.005652864     -0.254387612      0.738342010 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007944391      1.027370937      0.723194667 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.559369161 0.953009075 0.588398921 0.820245922 0.005215095 0.702349222
#>   [7] 0.045724526 0.539570721 0.794317443 0.331615715 0.862981510 0.888068081
#>  [13] 0.655423465 0.578704819 0.598154756 0.092821583 0.730626720 0.259387322
#>  [19] 0.846138770 0.115560841 0.466223781 0.352092668 0.912876719 0.201400920
#>  [25] 0.655423465 0.749254676 0.519604061 0.414886827 0.331615715 0.226389177
#>  [31] 0.739929758 0.383377732 0.214147581 0.281228411 0.785463009 0.070735530
#>  [37] 0.992201795 0.879698529 0.115560841 0.607770566 0.767699387 0.559369161
#>  [43] 0.031839165 0.092821583 0.674069692 0.721195708 0.081600857 0.020165345
#>  [49] 0.059128954 0.888068081 0.161716550 0.414886827 0.692848239 0.758468415
#>  [55] 0.115560841 0.404457362 0.617424369 0.539570721 0.912876719 0.636348334
#>  [61] 0.161716550 0.498420446 0.519604061 0.674069692 0.393965759 0.281228411
#>  [67] 0.711793799 0.846138770 0.321417137 0.414886827 0.904615465 0.976635063
#>  [73] 0.862981510 0.953009075 0.636348334 0.794317443 0.414886827 0.937176427
#>  [79] 0.929060988 0.226389177 0.976635063 0.414886827 0.248354034 0.466223781
#>  [85] 0.311036822 0.188138692 0.281228411 0.767699387 0.937176427 0.270242757
#>  [91] 0.968786591 0.466223781 0.829016866 0.509148452 0.115560841 0.617424369
#>  [97] 0.352092668 0.794317443 0.352092668 0.829016866 0.005215095 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   117    77    23    56    24    57   164   110    42   166   159    93   167 
#> 17.46  7.27 16.92 12.21 23.89 14.46 23.60 17.56 12.43 19.98 10.55 10.33 15.55 
#>    45   106    15    60    90   107   169    88   105   101   197 167.1   123 
#> 17.42 16.67 22.68 13.15 20.94 11.18 22.41 18.37 19.75  9.97 21.60 15.55 13.00 
#>   134   179 166.1   153   155   170   139   128    37    92   127    52 169.1 
#> 17.81 18.63 19.98 21.33 13.08 19.54 21.49 20.35 12.52 22.92  3.53 10.42 22.41 
#>    85   154 117.1   168  15.1   180    81   113    78    69  93.1    66 179.1 
#> 16.44 12.63 17.46 23.72 22.68 14.82 14.06 22.86 23.88 23.23 10.33 22.13 18.63 
#>   133    14 169.2    97    26 110.1 101.1     6  66.1    41 134.1 180.1    76 
#> 14.65 12.89 22.41 19.14 15.77 17.56  9.97 15.64 22.13 18.02 17.81 14.82 19.22 
#> 128.1    13 107.1   158 179.2   145    91 159.1  77.1   6.1  42.1 179.3    70 
#> 20.35 14.34 11.18 20.14 18.63 10.07  5.33 10.55  7.27 15.64 12.43 18.63  7.38 
#>    16 153.1  91.1 179.4    36  88.1   150   136 128.2 154.1  70.1    68    25 
#>  8.71 21.33  5.33 18.63 21.19 18.37 20.33 21.83 20.35 12.63  7.38 20.62  6.32 
#>  88.2    49    40 169.3  26.1 105.1  42.2 105.2  49.1  24.1   161    20   138 
#> 18.37 12.19 18.00 22.41 15.77 19.75 12.43 19.75 12.19 23.89 24.00 24.00 24.00 
#>    87    34  87.1  20.1   143   178   142    35    54   132    27    11   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1   122   165   104   191    65 178.1  54.1    84 178.2   176 161.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53 165.1  34.2    83     3   131     2   141     1    46   156   193 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182    28   126     7  54.2  65.1   116  46.1    22 176.1 141.1  34.3  46.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   200   119   137  11.1 132.1   198 191.1   102 143.1    17    82 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2 122.1   152    71 178.3  34.4  65.2   1.1  44.1    62   160    64    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1 102.1   135    47 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[65]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01659420                0.60604300               -0.03412369 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.167500866             0.004940755            -0.244362724 
#>   grade_iii, Cure model 
#>             0.574444375 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 86    23.81      1  58        0         1
#> 139   21.49      1  63        1         0
#> 85    16.44      1  36        0         0
#> 129   23.41      1  53        1         0
#> 195   11.76      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 15    22.68      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 60    13.15      1  38        1         0
#> 117   17.46      1  26        0         1
#> 86.1  23.81      1  58        0         1
#> 100   16.07      1  60        0         0
#> 25     6.32      1  34        1         0
#> 89    11.44      1  NA        0         0
#> 105   19.75      1  60        0         0
#> 139.1 21.49      1  63        1         0
#> 14    12.89      1  21        0         0
#> 130   16.47      1  53        0         1
#> 10    10.53      1  34        0         0
#> 164   23.60      1  76        0         1
#> 134   17.81      1  47        1         0
#> 86.2  23.81      1  58        0         1
#> 108   18.29      1  39        0         1
#> 187    9.92      1  39        1         0
#> 187.1  9.92      1  39        1         0
#> 39    15.59      1  37        0         1
#> 184   17.77      1  38        0         0
#> 159   10.55      1  50        0         1
#> 78    23.88      1  43        0         0
#> 124    9.73      1  NA        1         0
#> 85.1  16.44      1  36        0         0
#> 114   13.68      1  NA        0         0
#> 171   16.57      1  41        0         1
#> 140   12.68      1  59        1         0
#> 59.1  10.16      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 125   15.65      1  67        1         0
#> 59.2  10.16      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 63    22.77      1  31        1         0
#> 86.3  23.81      1  58        0         1
#> 91     5.33      1  61        0         1
#> 113   22.86      1  34        0         0
#> 139.2 21.49      1  63        1         0
#> 107   11.18      1  54        1         0
#> 117.1 17.46      1  26        0         1
#> 177   12.53      1  75        0         0
#> 188   16.16      1  46        0         1
#> 169   22.41      1  46        0         0
#> 56    12.21      1  60        0         0
#> 169.1 22.41      1  46        0         0
#> 42    12.43      1  49        0         1
#> 188.1 16.16      1  46        0         1
#> 14.1  12.89      1  21        0         0
#> 130.1 16.47      1  53        0         1
#> 23    16.92      1  61        0         0
#> 105.1 19.75      1  60        0         0
#> 14.2  12.89      1  21        0         0
#> 81    14.06      1  34        0         0
#> 5     16.43      1  51        0         1
#> 14.3  12.89      1  21        0         0
#> 78.1  23.88      1  43        0         0
#> 169.2 22.41      1  46        0         0
#> 90    20.94      1  50        0         1
#> 14.4  12.89      1  21        0         0
#> 111.1 17.45      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 91.1   5.33      1  61        0         1
#> 168   23.72      1  70        0         0
#> 187.2  9.92      1  39        1         0
#> 91.2   5.33      1  61        0         1
#> 24    23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 154   12.63      1  20        1         0
#> 30    17.43      1  78        0         0
#> 85.2  16.44      1  36        0         0
#> 8     18.43      1  32        0         0
#> 97    19.14      1  65        0         1
#> 164.1 23.60      1  76        0         1
#> 30.1  17.43      1  78        0         0
#> 69.1  23.23      1  25        0         1
#> 76    19.22      1  54        0         1
#> 154.1 12.63      1  20        1         0
#> 169.3 22.41      1  46        0         0
#> 189.1 10.51      1  NA        1         0
#> 189.2 10.51      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 49    12.19      1  48        1         0
#> 166   19.98      1  48        0         0
#> 86.4  23.81      1  58        0         1
#> 50    10.02      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 134.1 17.81      1  47        1         0
#> 25.1   6.32      1  34        1         0
#> 168.1 23.72      1  70        0         0
#> 108.1 18.29      1  39        0         1
#> 16     8.71      1  71        0         1
#> 76.1  19.22      1  54        0         1
#> 157   15.10      1  47        0         0
#> 79    16.23      1  54        1         0
#> 14.5  12.89      1  21        0         0
#> 155   13.08      1  26        0         0
#> 184.1 17.77      1  38        0         0
#> 194.1 22.40      1  38        0         1
#> 153   21.33      1  55        1         0
#> 192   16.44      1  31        1         0
#> 125.1 15.65      1  67        1         0
#> 92.1  22.92      1  47        0         1
#> 39.1  15.59      1  37        0         1
#> 129.1 23.41      1  53        1         0
#> 74    24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 144   24.00      0  28        0         1
#> 104   24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 72    24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 118   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 138   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 17    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 178   24.00      0  52        1         0
#> 138.1 24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 120   24.00      0  68        0         1
#> 73.1  24.00      0  NA        0         1
#> 84    24.00      0  39        0         1
#> 131   24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 121   24.00      0  57        1         0
#> 121.1 24.00      0  57        1         0
#> 71    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 67    24.00      0  25        0         0
#> 132   24.00      0  55        0         0
#> 48    24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 162   24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 44.1  24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 112.1 24.00      0  61        0         0
#> 162.1 24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 193.1 24.00      0  45        0         1
#> 161   24.00      0  45        0         0
#> 80    24.00      0  41        0         0
#> 62    24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 198.1 24.00      0  66        0         1
#> 65.1  24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 119.1 24.00      0  17        0         0
#> 67.1  24.00      0  25        0         0
#> 185.1 24.00      0  44        1         0
#> 67.2  24.00      0  25        0         0
#> 75    24.00      0  21        1         0
#> 144.1 24.00      0  28        0         1
#> 193.2 24.00      0  45        0         1
#> 1.1   24.00      0  23        1         0
#> 65.2  24.00      0  57        1         0
#> 71.1  24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 143   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 34    24.00      0  36        0         0
#> 83.1  24.00      0   6        0         0
#> 35    24.00      0  51        0         0
#> 198.2 24.00      0  66        0         1
#> 72.1  24.00      0  40        0         1
#> 112.2 24.00      0  61        0         0
#> 126   24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 104.1 24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 185.2 24.00      0  44        1         0
#> 112.3 24.00      0  61        0         0
#> 146.1 24.00      0  63        1         0
#> 62.1  24.00      0  71        0         0
#> 27.1  24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 38.1  24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 17.1  24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 17.2  24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 35.1  24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.168          NA        NA      NA
#> 2 age, Cure model          0.00494        NA        NA      NA
#> 3 grade_ii, Cure model    -0.244          NA        NA      NA
#> 4 grade_iii, Cure model    0.574          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0166        NA        NA      NA
#> 2 grade_ii, Survival model    0.606         NA        NA      NA
#> 3 grade_iii, Survival model  -0.0341        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.167501          0.004941         -0.244363          0.574444  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.2 
#> Residual Deviance: 250 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.167500866      0.004940755     -0.244362724      0.574444375 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01659420       0.60604300      -0.03412369 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 1.417881e-03 8.305056e-02 3.408698e-01 1.614569e-02 7.139410e-02
#>   [6] 4.668561e-02 2.522630e-01 5.683311e-01 2.326709e-01 1.417881e-03
#>  [11] 4.402704e-01 9.147299e-01 1.288331e-01 8.305056e-02 5.984923e-01
#>  [16] 3.172305e-01 8.317014e-01 1.038421e-02 1.954374e-01 1.417881e-03
#>  [21] 1.774688e-01 8.484317e-01 8.484317e-01 4.952900e-01 2.136747e-01
#>  [26] 8.151149e-01 3.777539e-04 3.408698e-01 3.057066e-01 6.875776e-01
#>  [31] 2.246759e-02 4.674588e-01 1.078008e-01 4.219175e-02 1.417881e-03
#>  [36] 9.483111e-01 3.765201e-02 8.305056e-02 7.987214e-01 2.326709e-01
#>  [41] 7.342834e-01 4.141011e-01 5.143042e-02 7.661618e-01 5.143042e-02
#>  [46] 7.501258e-01 4.141011e-01 5.984923e-01 3.172305e-01 2.944004e-01
#>  [51] 1.288331e-01 5.984923e-01 5.533285e-01 3.885147e-01 5.984923e-01
#>  [56] 3.777539e-04 5.143042e-02 1.145751e-01 5.984923e-01 2.522630e-01
#>  [61] 9.483111e-01 6.285508e-03 8.484317e-01 9.483111e-01 5.771652e-05
#>  [66] 2.951639e-02 7.034094e-01 2.727413e-01 3.408698e-01 1.686959e-01
#>  [71] 1.601072e-01 1.038421e-02 2.727413e-01 2.246759e-02 1.439561e-01
#>  [76] 7.034094e-01 5.143042e-02 5.238879e-01 7.824122e-01 1.215894e-01
#>  [81] 1.417881e-03 4.402704e-01 1.954374e-01 9.147299e-01 6.285508e-03
#>  [86] 1.774688e-01 8.977555e-01 1.439561e-01 5.384993e-01 4.012566e-01
#>  [91] 5.984923e-01 5.833434e-01 2.136747e-01 7.139410e-02 1.012272e-01
#>  [96] 3.408698e-01 4.674588e-01 2.951639e-02 4.952900e-01 1.614569e-02
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    86   139    85   129   194    15   111    60   117  86.1   100    25   105 
#> 23.81 21.49 16.44 23.41 22.40 22.68 17.45 13.15 17.46 23.81 16.07  6.32 19.75 
#> 139.1    14   130    10   164   134  86.2   108   187 187.1    39   184   159 
#> 21.49 12.89 16.47 10.53 23.60 17.81 23.81 18.29  9.92  9.92 15.59 17.77 10.55 
#>    78  85.1   171   140    69   125    99    63  86.3    91   113 139.2   107 
#> 23.88 16.44 16.57 12.68 23.23 15.65 21.19 22.77 23.81  5.33 22.86 21.49 11.18 
#> 117.1   177   188   169    56 169.1    42 188.1  14.1 130.1    23 105.1  14.2 
#> 17.46 12.53 16.16 22.41 12.21 22.41 12.43 16.16 12.89 16.47 16.92 19.75 12.89 
#>    81     5  14.3  78.1 169.2    90  14.4 111.1  91.1   168 187.2  91.2    24 
#> 14.06 16.43 12.89 23.88 22.41 20.94 12.89 17.45  5.33 23.72  9.92  5.33 23.89 
#>    92   154    30  85.2     8    97 164.1  30.1  69.1    76 154.1 169.3   167 
#> 22.92 12.63 17.43 16.44 18.43 19.14 23.60 17.43 23.23 19.22 12.63 22.41 15.55 
#>    49   166  86.4 100.1 134.1  25.1 168.1 108.1    16  76.1   157    79  14.5 
#> 12.19 19.98 23.81 16.07 17.81  6.32 23.72 18.29  8.71 19.22 15.10 16.23 12.89 
#>   155 184.1 194.1   153   192 125.1  92.1  39.1 129.1    74    31   144   104 
#> 13.08 17.77 22.40 21.33 16.44 15.65 22.92 15.59 23.41 24.00 24.00 24.00 24.00 
#>    83    72    19     9    54   118   138   185     1    17    44   178 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151   120    84   131   112   121 121.1    71    65   198    67   132    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146   193   162   148  44.1   102 112.1 162.1   122   119 193.1   161    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   156 198.1  65.1   109 119.1  67.1 185.1  67.2    75 144.1 193.2   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.2  71.1    98   143    27    34  83.1    35 198.2  72.1 112.2   126     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1   165 185.2 112.3 146.1  62.1  27.1    38   176  38.1    87  17.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.2    53  35.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[66]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008241776               1.045733845               0.680644764 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.5811244360            0.0001778573            0.7109923947 
#>   grade_iii, Cure model 
#>            1.4565610885 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 96    14.54      1  33        0         1
#> 123   13.00      1  44        1         0
#> 187    9.92      1  39        1         0
#> 108   18.29      1  39        0         1
#> 39    15.59      1  37        0         1
#> 45    17.42      1  54        0         1
#> 55    19.34      1  69        0         1
#> 166   19.98      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 189   10.51      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 49    12.19      1  48        1         0
#> 89    11.44      1  NA        0         0
#> 63    22.77      1  31        1         0
#> 140   12.68      1  59        1         0
#> 55.1  19.34      1  69        0         1
#> 61    10.12      1  36        0         1
#> 39.1  15.59      1  37        0         1
#> 5     16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 78    23.88      1  43        0         0
#> 183    9.24      1  67        1         0
#> 197   21.60      1  69        1         0
#> 128   20.35      1  35        0         1
#> 199   19.81      1  NA        0         1
#> 168   23.72      1  70        0         0
#> 10    10.53      1  34        0         0
#> 32    20.90      1  37        1         0
#> 92    22.92      1  47        0         1
#> 108.1 18.29      1  39        0         1
#> 49.1  12.19      1  48        1         0
#> 55.2  19.34      1  69        0         1
#> 170   19.54      1  43        0         1
#> 76    19.22      1  54        0         1
#> 66    22.13      1  53        0         0
#> 49.2  12.19      1  48        1         0
#> 150   20.33      1  48        0         0
#> 24    23.89      1  38        0         0
#> 179   18.63      1  42        0         0
#> 36    21.19      1  48        0         1
#> 134   17.81      1  47        1         0
#> 179.1 18.63      1  42        0         0
#> 42    12.43      1  49        0         1
#> 66.1  22.13      1  53        0         0
#> 171   16.57      1  41        0         1
#> 45.1  17.42      1  54        0         1
#> 86    23.81      1  58        0         1
#> 4.1   17.64      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 124    9.73      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 36.1  21.19      1  48        0         1
#> 189.1 10.51      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 136   21.83      1  43        0         1
#> 194.1 22.40      1  38        0         1
#> 15    22.68      1  48        0         0
#> 125   15.65      1  67        1         0
#> 108.2 18.29      1  39        0         1
#> 45.2  17.42      1  54        0         1
#> 199.1 19.81      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 25     6.32      1  34        1         0
#> 92.1  22.92      1  47        0         1
#> 70     7.38      1  30        1         0
#> 158   20.14      1  74        1         0
#> 4.2   17.64      1  NA        0         1
#> 78.1  23.88      1  43        0         0
#> 107   11.18      1  54        1         0
#> 130   16.47      1  53        0         1
#> 6     15.64      1  39        0         0
#> 56    12.21      1  60        0         0
#> 199.2 19.81      1  NA        0         1
#> 97    19.14      1  65        0         1
#> 8.1   18.43      1  32        0         0
#> 129   23.41      1  53        1         0
#> 139   21.49      1  63        1         0
#> 168.1 23.72      1  70        0         0
#> 170.1 19.54      1  43        0         1
#> 100   16.07      1  60        0         0
#> 57    14.46      1  45        0         1
#> 32.1  20.90      1  37        1         0
#> 125.1 15.65      1  67        1         0
#> 101    9.97      1  10        0         1
#> 85    16.44      1  36        0         0
#> 26.1  15.77      1  49        0         1
#> 189.2 10.51      1  NA        1         0
#> 128.1 20.35      1  35        0         1
#> 70.1   7.38      1  30        1         0
#> 29    15.45      1  68        1         0
#> 140.1 12.68      1  59        1         0
#> 183.1  9.24      1  67        1         0
#> 14    12.89      1  21        0         0
#> 90    20.94      1  50        0         1
#> 123.1 13.00      1  44        1         0
#> 91.1   5.33      1  61        0         1
#> 127    3.53      1  62        0         1
#> 36.2  21.19      1  48        0         1
#> 70.2   7.38      1  30        1         0
#> 13    14.34      1  54        0         1
#> 169   22.41      1  46        0         0
#> 101.1  9.97      1  10        0         1
#> 79.1  16.23      1  54        1         0
#> 154   12.63      1  20        1         0
#> 55.3  19.34      1  69        0         1
#> 127.1  3.53      1  62        0         1
#> 153   21.33      1  55        1         0
#> 4.3   17.64      1  NA        0         1
#> 124.1  9.73      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 188   16.16      1  46        0         1
#> 161   24.00      0  45        0         0
#> 165   24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 53    24.00      0  32        0         1
#> 19    24.00      0  57        0         1
#> 116   24.00      0  58        0         1
#> 174   24.00      0  49        1         0
#> 62    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 94.1  24.00      0  51        0         1
#> 103   24.00      0  56        1         0
#> 165.1 24.00      0  47        0         0
#> 19.1  24.00      0  57        0         1
#> 182   24.00      0  35        0         0
#> 162.1 24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 122.1 24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 196   24.00      0  19        0         0
#> 2.1   24.00      0   9        0         0
#> 142.1 24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 94.2  24.00      0  51        0         1
#> 98    24.00      0  34        1         0
#> 163   24.00      0  66        0         0
#> 178.1 24.00      0  52        1         0
#> 142.2 24.00      0  53        0         0
#> 146.1 24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 95.1  24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 182.1 24.00      0  35        0         0
#> 62.1  24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 163.1 24.00      0  66        0         0
#> 116.1 24.00      0  58        0         1
#> 185   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 147   24.00      0  76        1         0
#> 102   24.00      0  49        0         0
#> 172   24.00      0  41        0         0
#> 95.2  24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 62.2  24.00      0  71        0         0
#> 122.2 24.00      0  66        0         0
#> 146.2 24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 98.1  24.00      0  34        1         0
#> 80    24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 87    24.00      0  27        0         0
#> 7.1   24.00      0  37        1         0
#> 112   24.00      0  61        0         0
#> 112.1 24.00      0  61        0         0
#> 141   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 75.1  24.00      0  21        1         0
#> 22    24.00      0  52        1         0
#> 12    24.00      0  63        0         0
#> 1     24.00      0  23        1         0
#> 71    24.00      0  51        0         0
#> 75.2  24.00      0  21        1         0
#> 160   24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 75.3  24.00      0  21        1         0
#> 71.1  24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 163.2 24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 103.1 24.00      0  56        1         0
#> 120.2 24.00      0  68        0         1
#> 54    24.00      0  53        1         0
#> 161.1 24.00      0  45        0         0
#> 115   24.00      0  NA        1         0
#> 82    24.00      0  34        0         0
#> 119   24.00      0  17        0         0
#> 115.1 24.00      0  NA        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.581           NA        NA      NA
#> 2 age, Cure model          0.000178        NA        NA      NA
#> 3 grade_ii, Cure model     0.711           NA        NA      NA
#> 4 grade_iii, Cure model    1.46            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00824        NA        NA      NA
#> 2 grade_ii, Survival model   1.05           NA        NA      NA
#> 3 grade_iii, Survival model  0.681          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.5811244         0.0001779         0.7109924         1.4565611  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254 
#> Residual Deviance: 238.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.5811244360     0.0001778573     0.7109923947     1.4565610885 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008241776      1.045733845      0.680644764 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.627771771 0.744912218 0.771297085 0.910389068 0.522949452 0.709478159
#>   [7] 0.561688013 0.424510182 0.394124093 0.184214255 0.846843721 0.143035207
#>  [13] 0.796936538 0.424510182 0.886767509 0.709478159 0.618325736 0.664461479
#>  [19] 0.018205258 0.918175637 0.249668507 0.353105298 0.062583277 0.878760491
#>  [25] 0.332177775 0.114539990 0.522949452 0.846843721 0.424510182 0.404471071
#>  [31] 0.463222487 0.209669489 0.846843721 0.373454189 0.004636374 0.483070226
#>  [37] 0.287283034 0.551993117 0.483070226 0.830339122 0.209669489 0.589892647
#>  [43] 0.561688013 0.046468886 0.955767731 0.736030248 0.287283034 0.970635903
#>  [49] 0.236270363 0.184214255 0.156386009 0.682614109 0.522949452 0.561688013
#>  [55] 0.502918165 0.963234809 0.114539990 0.933517415 0.383865124 0.018205258
#>  [61] 0.870771263 0.599385288 0.700463895 0.838575580 0.473162582 0.502918165
#>  [67] 0.097779148 0.262641333 0.062583277 0.404471071 0.655241447 0.753741048
#>  [73] 0.332177775 0.682614109 0.894740830 0.608836602 0.664461479 0.353105298
#>  [79] 0.933517415 0.727188276 0.796936538 0.918175637 0.788349086 0.320740370
#>  [85] 0.771297085 0.970635903 0.985338174 0.287283034 0.933517415 0.762532488
#>  [91] 0.170120398 0.894740830 0.627771771 0.813748746 0.424510182 0.985338174
#>  [97] 0.275184997 0.822076527 0.646071755 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    79    96   123   187   108    39    45    55   166   194    49    63   140 
#> 16.23 14.54 13.00  9.92 18.29 15.59 17.42 19.34 19.98 22.40 12.19 22.77 12.68 
#>  55.1    61  39.1     5    26    78   183   197   128   168    10    32    92 
#> 19.34 10.12 15.59 16.43 15.77 23.88  9.24 21.60 20.35 23.72 10.53 20.90 22.92 
#> 108.1  49.1  55.2   170    76    66  49.2   150    24   179    36   134 179.1 
#> 18.29 12.19 19.34 19.54 19.22 22.13 12.19 20.33 23.89 18.63 21.19 17.81 18.63 
#>    42  66.1   171  45.1    86    77   133  36.1    91   136 194.1    15   125 
#> 12.43 22.13 16.57 17.42 23.81  7.27 14.65 21.19  5.33 21.83 22.40 22.68 15.65 
#> 108.2  45.2     8    25  92.1    70   158  78.1   107   130     6    56    97 
#> 18.29 17.42 18.43  6.32 22.92  7.38 20.14 23.88 11.18 16.47 15.64 12.21 19.14 
#>   8.1   129   139 168.1 170.1   100    57  32.1 125.1   101    85  26.1 128.1 
#> 18.43 23.41 21.49 23.72 19.54 16.07 14.46 20.90 15.65  9.97 16.44 15.77 20.35 
#>  70.1    29 140.1 183.1    14    90 123.1  91.1   127  36.2  70.2    13   169 
#>  7.38 15.45 12.68  9.24 12.89 20.94 13.00  5.33  3.53 21.19  7.38 14.34 22.41 
#> 101.1  79.1   154  55.3 127.1   153    37   188   161   165    94    53    19 
#>  9.97 16.23 12.63 19.34  3.53 21.33 12.52 16.16 24.00 24.00 24.00 24.00 24.00 
#>   116   174    62    38   122     2   142   162   186   132  94.1   103 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1   182 162.1    95   137    74 122.1   178   146   126   196   2.1 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200  94.2    98   163 178.1 142.2 146.1     7  95.1 182.1  62.1    75 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1   185    72   147   102   172  95.2   173    46  62.2 122.2 146.2   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1    80   144    87   7.1   112 112.1   141   176  75.1    22    12     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71  75.2   160   1.1  75.3  71.1 120.1 163.2 172.1 103.1 120.2    54 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82   119 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[67]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0003664853              0.6858825784              0.3879659856 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.03528633              0.02012735              0.11564359 
#>   grade_iii, Cure model 
#>              0.83881911 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 18    15.21      1  49        1         0
#> 110   17.56      1  65        0         1
#> 155   13.08      1  26        0         0
#> 199   19.81      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 154   12.63      1  20        1         0
#> 130   16.47      1  53        0         1
#> 36    21.19      1  48        0         1
#> 101    9.97      1  10        0         1
#> 110.1 17.56      1  65        0         1
#> 14    12.89      1  21        0         0
#> 166   19.98      1  48        0         0
#> 139   21.49      1  63        1         0
#> 123   13.00      1  44        1         0
#> 192   16.44      1  31        1         0
#> 189   10.51      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 76    19.22      1  54        0         1
#> 150   20.33      1  48        0         0
#> 128   20.35      1  35        0         1
#> 128.1 20.35      1  35        0         1
#> 184   17.77      1  38        0         0
#> 24    23.89      1  38        0         0
#> 183    9.24      1  67        1         0
#> 24.1  23.89      1  38        0         0
#> 149.1  8.37      1  33        1         0
#> 105   19.75      1  60        0         0
#> 51    18.23      1  83        0         1
#> 179   18.63      1  42        0         0
#> 150.1 20.33      1  48        0         0
#> 78    23.88      1  43        0         0
#> 199.1 19.81      1  NA        0         1
#> 184.1 17.77      1  38        0         0
#> 56    12.21      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 133   14.65      1  57        0         0
#> 25     6.32      1  34        1         0
#> 164   23.60      1  76        0         1
#> 13    14.34      1  54        0         1
#> 159   10.55      1  50        0         1
#> 63    22.77      1  31        1         0
#> 169   22.41      1  46        0         0
#> 169.1 22.41      1  46        0         0
#> 36.2  21.19      1  48        0         1
#> 110.2 17.56      1  65        0         1
#> 60    13.15      1  38        1         0
#> 125   15.65      1  67        1         0
#> 18.1  15.21      1  49        1         0
#> 197   21.60      1  69        1         0
#> 177   12.53      1  75        0         0
#> 171   16.57      1  41        0         1
#> 99    21.19      1  38        0         1
#> 180   14.82      1  37        0         0
#> 149.2  8.37      1  33        1         0
#> 113   22.86      1  34        0         0
#> 91     5.33      1  61        0         1
#> 96    14.54      1  33        0         1
#> 184.2 17.77      1  38        0         0
#> 51.1  18.23      1  83        0         1
#> 105.1 19.75      1  60        0         0
#> 52    10.42      1  52        0         1
#> 177.1 12.53      1  75        0         0
#> 153   21.33      1  55        1         0
#> 194   22.40      1  38        0         1
#> 171.1 16.57      1  41        0         1
#> 164.1 23.60      1  76        0         1
#> 99.1  21.19      1  38        0         1
#> 29    15.45      1  68        1         0
#> 149.3  8.37      1  33        1         0
#> 140   12.68      1  59        1         0
#> 167   15.55      1  56        1         0
#> 18.2  15.21      1  49        1         0
#> 167.1 15.55      1  56        1         0
#> 57    14.46      1  45        0         1
#> 167.2 15.55      1  56        1         0
#> 130.1 16.47      1  53        0         1
#> 41    18.02      1  40        1         0
#> 190   20.81      1  42        1         0
#> 77     7.27      1  67        0         1
#> 92    22.92      1  47        0         1
#> 57.1  14.46      1  45        0         1
#> 100   16.07      1  60        0         0
#> 166.1 19.98      1  48        0         0
#> 140.1 12.68      1  59        1         0
#> 88    18.37      1  47        0         0
#> 169.2 22.41      1  46        0         0
#> 26    15.77      1  49        0         1
#> 96.1  14.54      1  33        0         1
#> 166.2 19.98      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 110.3 17.56      1  65        0         1
#> 130.2 16.47      1  53        0         1
#> 77.1   7.27      1  67        0         1
#> 63.1  22.77      1  31        1         0
#> 125.1 15.65      1  67        1         0
#> 177.2 12.53      1  75        0         0
#> 52.1  10.42      1  52        0         1
#> 52.2  10.42      1  52        0         1
#> 149.4  8.37      1  33        1         0
#> 63.2  22.77      1  31        1         0
#> 106   16.67      1  49        1         0
#> 26.1  15.77      1  49        0         1
#> 37    12.52      1  57        1         0
#> 55    19.34      1  69        0         1
#> 81    14.06      1  34        0         0
#> 51.2  18.23      1  83        0         1
#> 57.2  14.46      1  45        0         1
#> 96.2  14.54      1  33        0         1
#> 154.1 12.63      1  20        1         0
#> 145   10.07      1  65        1         0
#> 20    24.00      0  46        1         0
#> 122   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 147   24.00      0  76        1         0
#> 174   24.00      0  49        1         0
#> 74    24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 2     24.00      0   9        0         0
#> 1     24.00      0  23        1         0
#> 102   24.00      0  49        0         0
#> 35.1  24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 54    24.00      0  53        1         0
#> 11    24.00      0  42        0         1
#> 198   24.00      0  66        0         1
#> 161   24.00      0  45        0         0
#> 152   24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 62    24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 174.1 24.00      0  49        1         0
#> 73    24.00      0  NA        0         1
#> 132   24.00      0  55        0         0
#> 9.1   24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 151   24.00      0  42        0         0
#> 1.1   24.00      0  23        1         0
#> 143   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 31    24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 22.1  24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 38.1  24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 53    24.00      0  32        0         1
#> 44    24.00      0  56        0         0
#> 82    24.00      0  34        0         0
#> 84    24.00      0  39        0         1
#> 31.1  24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 198.1 24.00      0  66        0         1
#> 160   24.00      0  31        1         0
#> 20.2  24.00      0  46        1         0
#> 94.1  24.00      0  51        0         1
#> 34    24.00      0  36        0         0
#> 44.1  24.00      0  56        0         0
#> 185   24.00      0  44        1         0
#> 161.1 24.00      0  45        0         0
#> 71    24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 122.1 24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 71.2  24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 103   24.00      0  56        1         0
#> 135   24.00      0  58        1         0
#> 83    24.00      0   6        0         0
#> 38.2  24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 84.1  24.00      0  39        0         1
#> 31.2  24.00      0  36        0         1
#> 103.1 24.00      0  56        1         0
#> 121   24.00      0  57        1         0
#> 143.1 24.00      0  51        0         0
#> 143.2 24.00      0  51        0         0
#> 11.1  24.00      0  42        0         1
#> 27    24.00      0  63        1         0
#> 143.3 24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 84.2  24.00      0  39        0         1
#> 53.1  24.00      0  32        0         1
#> 131   24.00      0  66        0         0
#> 9.2   24.00      0  31        1         0
#> 143.4 24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 176   24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 132.1 24.00      0  55        0         0
#> 135.1 24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.04          NA        NA      NA
#> 2 age, Cure model           0.0201        NA        NA      NA
#> 3 grade_ii, Cure model      0.116         NA        NA      NA
#> 4 grade_iii, Cure model     0.839         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000366        NA        NA      NA
#> 2 grade_ii, Survival model  0.686           NA        NA      NA
#> 3 grade_iii, Survival model 0.388           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.03529           0.02013           0.11564           0.83882  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 256.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.03528633       0.02012735       0.11564359       0.83881911 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0003664853     0.6858825784     0.3879659856 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.72008607 0.55036200 0.81919802 0.94502768 0.85340882 0.60981214
#>   [7] 0.29520883 0.93218628 0.55036200 0.83303150 0.39245858 0.27178908
#>  [13] 0.82614423 0.63432786 0.46868045 0.44970612 0.37321462 0.35395326
#>  [19] 0.35395326 0.52375935 0.02548560 0.93862971 0.02548560 0.94502768
#>  [25] 0.42093194 0.48764398 0.45919481 0.37321462 0.06832555 0.52375935
#>  [31] 0.89313050 0.29520883 0.74884533 0.98780778 0.09489834 0.79823549
#>  [37] 0.89973887 0.16909910 0.20763816 0.20763816 0.29520883 0.55036200
#>  [43] 0.81225126 0.66670590 0.72008607 0.25926301 0.86668937 0.59301502
#>  [49] 0.29520883 0.74160336 0.94502768 0.15051062 0.99391337 0.75608583
#>  [55] 0.52375935 0.48764398 0.42093194 0.90632300 0.86668937 0.28374667
#>  [61] 0.24607696 0.59301502 0.09489834 0.29520883 0.71261051 0.94502768
#>  [67] 0.83991832 0.69017713 0.72008607 0.69017713 0.77730305 0.69017713
#>  [73] 0.60981214 0.51473083 0.34391494 0.97555806 0.13189630 0.77730305
#>  [79] 0.64249983 0.39245858 0.83991832 0.47816385 0.20763816 0.65066949
#>  [85] 0.75608583 0.39245858 0.68235286 0.55036200 0.60981214 0.97555806
#>  [91] 0.16909910 0.66670590 0.86668937 0.90632300 0.90632300 0.94502768
#>  [97] 0.16909910 0.58443466 0.65066949 0.88652105 0.44011558 0.80524376
#> [103] 0.48764398 0.77730305 0.75608583 0.85340882 0.92572143 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    18   110   155   149   154   130    36   101 110.1    14   166   139   123 
#> 15.21 17.56 13.08  8.37 12.63 16.47 21.19  9.97 17.56 12.89 19.98 21.49 13.00 
#>   192     8    76   150   128 128.1   184    24   183  24.1 149.1   105    51 
#> 16.44 18.43 19.22 20.33 20.35 20.35 17.77 23.89  9.24 23.89  8.37 19.75 18.23 
#>   179 150.1    78 184.1    56  36.1   133    25   164    13   159    63   169 
#> 18.63 20.33 23.88 17.77 12.21 21.19 14.65  6.32 23.60 14.34 10.55 22.77 22.41 
#> 169.1  36.2 110.2    60   125  18.1   197   177   171    99   180 149.2   113 
#> 22.41 21.19 17.56 13.15 15.65 15.21 21.60 12.53 16.57 21.19 14.82  8.37 22.86 
#>    91    96 184.2  51.1 105.1    52 177.1   153   194 171.1 164.1  99.1    29 
#>  5.33 14.54 17.77 18.23 19.75 10.42 12.53 21.33 22.40 16.57 23.60 21.19 15.45 
#> 149.3   140   167  18.2 167.1    57 167.2 130.1    41   190    77    92  57.1 
#>  8.37 12.68 15.55 15.21 15.55 14.46 15.55 16.47 18.02 20.81  7.27 22.92 14.46 
#>   100 166.1 140.1    88 169.2    26  96.1 166.2    39 110.3 130.2  77.1  63.1 
#> 16.07 19.98 12.68 18.37 22.41 15.77 14.54 19.98 15.59 17.56 16.47  7.27 22.77 
#> 125.1 177.2  52.1  52.2 149.4  63.2   106  26.1    37    55    81  51.2  57.2 
#> 15.65 12.53 10.42 10.42  8.37 22.77 16.67 15.77 12.52 19.34 14.06 18.23 14.46 
#>  96.2 154.1   145    20   122    35    65    38  20.1   147   174    74     9 
#> 14.54 12.63 10.07 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17    98     2     1   102  35.1  74.1    75    54    11   198   161   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182    62    22 174.1   132   9.1   2.1   151   1.1   143    21    31   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1    94  38.1   173    53    44    82    84  31.1   178 198.1   160  20.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1    34  44.1   185 161.1    71   162 122.1  71.1   118   186  71.2    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   135    83  38.2   148  84.1  31.2 103.1   121 143.1 143.2  11.1    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.3   137  84.2  53.1   131   9.2 143.4     7   176    64 132.1 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[68]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01417966                0.20432531                0.53078370 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.204541420             0.002551197             0.262431951 
#>   grade_iii, Cure model 
#>             0.682512350 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 89    11.44      1  NA        0         0
#> 60    13.15      1  38        1         0
#> 187    9.92      1  39        1         0
#> 90    20.94      1  50        0         1
#> 93    10.33      1  52        0         1
#> 179   18.63      1  42        0         0
#> 37    12.52      1  57        1         0
#> 140   12.68      1  59        1         0
#> 170   19.54      1  43        0         1
#> 111   17.45      1  47        0         1
#> 70     7.38      1  30        1         0
#> 8     18.43      1  32        0         0
#> 133   14.65      1  57        0         0
#> 16     8.71      1  71        0         1
#> 133.1 14.65      1  57        0         0
#> 81    14.06      1  34        0         0
#> 68    20.62      1  44        0         0
#> 110   17.56      1  65        0         1
#> 77     7.27      1  67        0         1
#> 23    16.92      1  61        0         0
#> 125   15.65      1  67        1         0
#> 52    10.42      1  52        0         1
#> 15    22.68      1  48        0         0
#> 26    15.77      1  49        0         1
#> 188   16.16      1  46        0         1
#> 195   11.76      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 113   22.86      1  34        0         0
#> 123   13.00      1  44        1         0
#> 175   21.91      1  43        0         0
#> 125.1 15.65      1  67        1         0
#> 133.2 14.65      1  57        0         0
#> 61    10.12      1  36        0         1
#> 52.1  10.42      1  52        0         1
#> 108   18.29      1  39        0         1
#> 50    10.02      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 26.1  15.77      1  49        0         1
#> 18    15.21      1  49        1         0
#> 128   20.35      1  35        0         1
#> 134   17.81      1  47        1         0
#> 23.1  16.92      1  61        0         0
#> 108.1 18.29      1  39        0         1
#> 93.1  10.33      1  52        0         1
#> 56    12.21      1  60        0         0
#> 63    22.77      1  31        1         0
#> 63.1  22.77      1  31        1         0
#> 154   12.63      1  20        1         0
#> 63.2  22.77      1  31        1         0
#> 91     5.33      1  61        0         1
#> 167   15.55      1  56        1         0
#> 4     17.64      1  NA        0         1
#> 179.1 18.63      1  42        0         0
#> 171   16.57      1  41        0         1
#> 10    10.53      1  34        0         0
#> 195.1 11.76      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 139   21.49      1  63        1         0
#> 18.1  15.21      1  49        1         0
#> 58    19.34      1  39        0         0
#> 129   23.41      1  53        1         0
#> 24    23.89      1  38        0         0
#> 190   20.81      1  42        1         0
#> 15.1  22.68      1  48        0         0
#> 123.1 13.00      1  44        1         0
#> 30    17.43      1  78        0         0
#> 81.1  14.06      1  34        0         0
#> 177   12.53      1  75        0         0
#> 93.2  10.33      1  52        0         1
#> 25     6.32      1  34        1         0
#> 171.1 16.57      1  41        0         1
#> 105   19.75      1  60        0         0
#> 130   16.47      1  53        0         1
#> 187.1  9.92      1  39        1         0
#> 40    18.00      1  28        1         0
#> 184   17.77      1  38        0         0
#> 167.1 15.55      1  56        1         0
#> 175.1 21.91      1  43        0         0
#> 125.2 15.65      1  67        1         0
#> 56.1  12.21      1  60        0         0
#> 117   17.46      1  26        0         1
#> 5     16.43      1  51        0         1
#> 130.1 16.47      1  53        0         1
#> 171.2 16.57      1  41        0         1
#> 100   16.07      1  60        0         0
#> 100.1 16.07      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 167.2 15.55      1  56        1         0
#> 177.1 12.53      1  75        0         0
#> 189   10.51      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 177.2 12.53      1  75        0         0
#> 157   15.10      1  47        0         0
#> 117.1 17.46      1  26        0         1
#> 155   13.08      1  26        0         0
#> 51    18.23      1  83        0         1
#> 61.1  10.12      1  36        0         1
#> 153   21.33      1  55        1         0
#> 51.1  18.23      1  83        0         1
#> 139.1 21.49      1  63        1         0
#> 41    18.02      1  40        1         0
#> 79    16.23      1  54        1         0
#> 134.1 17.81      1  47        1         0
#> 30.1  17.43      1  78        0         0
#> 14    12.89      1  21        0         0
#> 91.1   5.33      1  61        0         1
#> 123.2 13.00      1  44        1         0
#> 97    19.14      1  65        0         1
#> 66    22.13      1  53        0         0
#> 41.1  18.02      1  40        1         0
#> 79.1  16.23      1  54        1         0
#> 140.2 12.68      1  59        1         0
#> 163   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 44    24.00      0  56        0         0
#> 144   24.00      0  28        0         1
#> 137   24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 138   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 156   24.00      0  50        1         0
#> 163.1 24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 174   24.00      0  49        1         0
#> 53    24.00      0  32        0         1
#> 163.2 24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 120   24.00      0  68        0         1
#> 165.1 24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 115   24.00      0  NA        1         0
#> 2     24.00      0   9        0         0
#> 12    24.00      0  63        0         0
#> 98    24.00      0  34        1         0
#> 135   24.00      0  58        1         0
#> 87    24.00      0  27        0         0
#> 116   24.00      0  58        0         1
#> 7     24.00      0  37        1         0
#> 174.1 24.00      0  49        1         0
#> 135.1 24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 38    24.00      0  31        1         0
#> 116.1 24.00      0  58        0         1
#> 116.2 24.00      0  58        0         1
#> 146   24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 151   24.00      0  42        0         0
#> 72    24.00      0  40        0         1
#> 198   24.00      0  66        0         1
#> 65    24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 94    24.00      0  51        0         1
#> 174.2 24.00      0  49        1         0
#> 67    24.00      0  25        0         0
#> 137.1 24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 132.1 24.00      0  55        0         0
#> 12.1  24.00      0  63        0         0
#> 174.3 24.00      0  49        1         0
#> 64    24.00      0  43        0         0
#> 46    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 119.1 24.00      0  17        0         0
#> 27    24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 44.1  24.00      0  56        0         0
#> 80    24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 19.1  24.00      0  57        0         1
#> 34    24.00      0  36        0         0
#> 54.1  24.00      0  53        1         0
#> 112   24.00      0  61        0         0
#> 22    24.00      0  52        1         0
#> 132.2 24.00      0  55        0         0
#> 34.1  24.00      0  36        0         0
#> 198.1 24.00      0  66        0         1
#> 98.1  24.00      0  34        1         0
#> 173   24.00      0  19        0         1
#> 80.1  24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 83    24.00      0   6        0         0
#> 33.1  24.00      0  53        0         0
#> 54.2  24.00      0  53        1         0
#> 27.1  24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 148   24.00      0  61        1         0
#> 174.4 24.00      0  49        1         0
#> 174.5 24.00      0  49        1         0
#> 53.1  24.00      0  32        0         1
#> 137.2 24.00      0  45        1         0
#> 132.3 24.00      0  55        0         0
#> 112.1 24.00      0  61        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.205          NA        NA      NA
#> 2 age, Cure model          0.00255        NA        NA      NA
#> 3 grade_ii, Cure model     0.262          NA        NA      NA
#> 4 grade_iii, Cure model    0.683          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0142        NA        NA      NA
#> 2 grade_ii, Survival model    0.204         NA        NA      NA
#> 3 grade_iii, Survival model   0.531         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.204541          0.002551          0.262432          0.682512  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 261 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.204541420      0.002551197      0.262431951      0.682512350 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01417966       0.20432531       0.53078370 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.86620032 0.96693298 0.46258963 0.94759947 0.55702592 0.92301213
#>   [7] 0.89313277 0.52474678 0.68824090 0.98193415 0.57676428 0.84322109
#>  [13] 0.97453899 0.84322109 0.85703039 0.48862993 0.66708552 0.98562651
#>  [19] 0.70817934 0.79975076 0.93955744 0.30347871 0.78939342 0.77323140
#>  [25] 0.89313277 0.19818518 0.87533048 0.38435403 0.79975076 0.84322109
#>  [31] 0.95925860 0.93955744 0.58662168 0.75066553 0.78939342 0.82902152
#>  [37] 0.50114785 0.64458791 0.70817934 0.58662168 0.94759947 0.92719339
#>  [43] 0.23456019 0.23456019 0.90609662 0.23456019 0.99290522 0.81461140
#>  [49] 0.55702592 0.72095151 0.93543752 0.34500114 0.41877821 0.82902152
#>  [55] 0.53584156 0.15718840 0.08770797 0.47582795 0.30347871 0.87533048
#>  [61] 0.69508243 0.85703039 0.91042563 0.94759947 0.98927247 0.72095151
#>  [67] 0.51312925 0.73904768 0.96693298 0.63678467 0.65959830 0.81461140
#>  [73] 0.38435403 0.79975076 0.92719339 0.67430739 0.75646708 0.73904768
#>  [79] 0.72095151 0.77869845 0.77869845 0.81461140 0.91042563 0.97453899
#>  [85] 0.91042563 0.83849583 0.67430739 0.87077073 0.60497477 0.95925860
#>  [91] 0.44835113 0.60497477 0.41877821 0.62111648 0.76215932 0.64458791
#>  [97] 0.69508243 0.88867121 0.99290522 0.87533048 0.54676925 0.36527045
#> [103] 0.62111648 0.76215932 0.89313277 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    60   187    90    93   179    37   140   170   111    70     8   133    16 
#> 13.15  9.92 20.94 10.33 18.63 12.52 12.68 19.54 17.45  7.38 18.43 14.65  8.71 
#> 133.1    81    68   110    77    23   125    52    15    26   188 140.1   113 
#> 14.65 14.06 20.62 17.56  7.27 16.92 15.65 10.42 22.68 15.77 16.16 12.68 22.86 
#>   123   175 125.1 133.2    61  52.1   108    85  26.1    18   128   134  23.1 
#> 13.00 21.91 15.65 14.65 10.12 10.42 18.29 16.44 15.77 15.21 20.35 17.81 16.92 
#> 108.1  93.1    56    63  63.1   154  63.2    91   167 179.1   171    10   169 
#> 18.29 10.33 12.21 22.77 22.77 12.63 22.77  5.33 15.55 18.63 16.57 10.53 22.41 
#>   139  18.1    58   129    24   190  15.1 123.1    30  81.1   177  93.2    25 
#> 21.49 15.21 19.34 23.41 23.89 20.81 22.68 13.00 17.43 14.06 12.53 10.33  6.32 
#> 171.1   105   130 187.1    40   184 167.1 175.1 125.2  56.1   117     5 130.1 
#> 16.57 19.75 16.47  9.92 18.00 17.77 15.55 21.91 15.65 12.21 17.46 16.43 16.47 
#> 171.2   100 100.1 167.2 177.1  16.1 177.2   157 117.1   155    51  61.1   153 
#> 16.57 16.07 16.07 15.55 12.53  8.71 12.53 15.10 17.46 13.08 18.23 10.12 21.33 
#>  51.1 139.1    41    79 134.1  30.1    14  91.1 123.2    97    66  41.1  79.1 
#> 18.23 21.49 18.02 16.23 17.81 17.43 12.89  5.33 13.00 19.14 22.13 18.02 16.23 
#> 140.2   163    19    44   144   137   141   104    31    33   165   161   138 
#> 12.68 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   156 163.1   132   174    53 163.2    84   120 165.1   186     2    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   135    87   116     7 174.1 135.1   142    54    38 116.1 116.2   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   151    72   198    65   109   182    94 174.2    67 137.1   193 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1 174.3    64    46   200 119.1    27    35 200.1  44.1    80   131  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34  54.1   112    22 132.2  34.1 198.1  98.1   173  80.1   147    83  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.2  27.1   126   148 174.4 174.5  53.1 137.2 132.3 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[69]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.009709494               0.788748450               0.052260084 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.64086514              0.01411194             -0.22656555 
#>   grade_iii, Cure model 
#>              0.71136882 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 92    22.92      1  47        0         1
#> 133   14.65      1  57        0         0
#> 187    9.92      1  39        1         0
#> 149    8.37      1  33        1         0
#> 52    10.42      1  52        0         1
#> 107   11.18      1  54        1         0
#> 51    18.23      1  83        0         1
#> 100   16.07      1  60        0         0
#> 60    13.15      1  38        1         0
#> 85    16.44      1  36        0         0
#> 37    12.52      1  57        1         0
#> 18    15.21      1  49        1         0
#> 184.1 17.77      1  38        0         0
#> 39    15.59      1  37        0         1
#> 187.1  9.92      1  39        1         0
#> 60.1  13.15      1  38        1         0
#> 100.1 16.07      1  60        0         0
#> 127    3.53      1  62        0         1
#> 15    22.68      1  48        0         0
#> 10    10.53      1  34        0         0
#> 8     18.43      1  32        0         0
#> 159   10.55      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 81    14.06      1  34        0         0
#> 85.1  16.44      1  36        0         0
#> 180   14.82      1  37        0         0
#> 10.1  10.53      1  34        0         0
#> 16     8.71      1  71        0         1
#> 91     5.33      1  61        0         1
#> 171   16.57      1  41        0         1
#> 14    12.89      1  21        0         0
#> 81.1  14.06      1  34        0         0
#> 70     7.38      1  30        1         0
#> 36    21.19      1  48        0         1
#> 23    16.92      1  61        0         0
#> 133.1 14.65      1  57        0         0
#> 76    19.22      1  54        0         1
#> 197   21.60      1  69        1         0
#> 23.1  16.92      1  61        0         0
#> 37.1  12.52      1  57        1         0
#> 134   17.81      1  47        1         0
#> 18.1  15.21      1  49        1         0
#> 4     17.64      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 69    23.23      1  25        0         1
#> 30    17.43      1  78        0         0
#> 170   19.54      1  43        0         1
#> 57    14.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 45    17.42      1  54        0         1
#> 125   15.65      1  67        1         0
#> 70.1   7.38      1  30        1         0
#> 92.1  22.92      1  47        0         1
#> 175   21.91      1  43        0         0
#> 66    22.13      1  53        0         0
#> 5     16.43      1  51        0         1
#> 60.2  13.15      1  38        1         0
#> 99    21.19      1  38        0         1
#> 24    23.89      1  38        0         0
#> 4.1   17.64      1  NA        0         1
#> 58    19.34      1  39        0         0
#> 6     15.64      1  39        0         0
#> 13    14.34      1  54        0         1
#> 111   17.45      1  47        0         1
#> 136   21.83      1  43        0         1
#> 63.1  22.77      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 14.1  12.89      1  21        0         0
#> 189   10.51      1  NA        1         0
#> 14.2  12.89      1  21        0         0
#> 88    18.37      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 92.2  22.92      1  47        0         1
#> 30.1  17.43      1  78        0         0
#> 76.1  19.22      1  54        0         1
#> 181   16.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 106   16.67      1  49        1         0
#> 168   23.72      1  70        0         0
#> 66.1  22.13      1  53        0         0
#> 5.1   16.43      1  51        0         1
#> 171.1 16.57      1  41        0         1
#> 159.1 10.55      1  50        0         1
#> 177   12.53      1  75        0         0
#> 113   22.86      1  34        0         0
#> 90    20.94      1  50        0         1
#> 29    15.45      1  68        1         0
#> 59.1  10.16      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 99.1  21.19      1  38        0         1
#> 107.1 11.18      1  54        1         0
#> 145   10.07      1  65        1         0
#> 107.2 11.18      1  54        1         0
#> 107.3 11.18      1  54        1         0
#> 25     6.32      1  34        1         0
#> 26.1  15.77      1  49        0         1
#> 52.1  10.42      1  52        0         1
#> 125.1 15.65      1  67        1         0
#> 111.1 17.45      1  47        0         1
#> 69.1  23.23      1  25        0         1
#> 108   18.29      1  39        0         1
#> 189.1 10.51      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 18.2  15.21      1  49        1         0
#> 127.1  3.53      1  62        0         1
#> 99.2  21.19      1  38        0         1
#> 162   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 46    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 87    24.00      0  27        0         0
#> 47    24.00      0  38        0         1
#> 118   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 198   24.00      0  66        0         1
#> 138   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 142   24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 120   24.00      0  68        0         1
#> 28    24.00      0  67        1         0
#> 47.1  24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 198.1 24.00      0  66        0         1
#> 156.1 24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 28.1  24.00      0  67        1         0
#> 73    24.00      0  NA        0         1
#> 174.1 24.00      0  49        1         0
#> 62    24.00      0  71        0         0
#> 126   24.00      0  48        0         0
#> 1     24.00      0  23        1         0
#> 73.1  24.00      0  NA        0         1
#> 3     24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 163   24.00      0  66        0         0
#> 119.1 24.00      0  17        0         0
#> 147   24.00      0  76        1         0
#> 84    24.00      0  39        0         1
#> 94    24.00      0  51        0         1
#> 102   24.00      0  49        0         0
#> 54.1  24.00      0  53        1         0
#> 11    24.00      0  42        0         1
#> 182   24.00      0  35        0         0
#> 152   24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 141   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 135.1 24.00      0  58        1         0
#> 80.1  24.00      0  41        0         0
#> 53.1  24.00      0  32        0         1
#> 112   24.00      0  61        0         0
#> 71    24.00      0  51        0         0
#> 12.1  24.00      0  63        0         0
#> 135.2 24.00      0  58        1         0
#> 87.1  24.00      0  27        0         0
#> 141.1 24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 87.2  24.00      0  27        0         0
#> 72    24.00      0  40        0         1
#> 165   24.00      0  47        0         0
#> 71.1  24.00      0  51        0         0
#> 119.2 24.00      0  17        0         0
#> 82    24.00      0  34        0         0
#> 48.1  24.00      0  31        1         0
#> 82.1  24.00      0  34        0         0
#> 80.2  24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 135.3 24.00      0  58        1         0
#> 119.3 24.00      0  17        0         0
#> 102.1 24.00      0  49        0         0
#> 173   24.00      0  19        0         1
#> 53.2  24.00      0  32        0         1
#> 165.1 24.00      0  47        0         0
#> 47.2  24.00      0  38        0         1
#> 173.1 24.00      0  19        0         1
#> 65    24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 17.1  24.00      0  38        0         1
#> 173.2 24.00      0  19        0         1
#> 186.1 24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 146   24.00      0  63        1         0
#> 151   24.00      0  42        0         0
#> 28.2  24.00      0  67        1         0
#> 178   24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.641         NA        NA      NA
#> 2 age, Cure model           0.0141        NA        NA      NA
#> 3 grade_ii, Cure model     -0.227         NA        NA      NA
#> 4 grade_iii, Cure model     0.711         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00971        NA        NA      NA
#> 2 grade_ii, Survival model   0.789          NA        NA      NA
#> 3 grade_iii, Survival model  0.0523         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.64087           0.01411          -0.22657           0.71137  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 251.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.64086514       0.01411194      -0.22656555       0.71136882 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.009709494      0.788748450      0.052260084 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.54800993 0.19213745 0.78822783 0.95387341 0.96808871 0.93415109
#>   [7] 0.89355976 0.52874182 0.69847447 0.83118796 0.66748852 0.87712073
#>  [13] 0.76311307 0.54800993 0.74941054 0.95387341 0.83118796 0.69847447
#>  [19] 0.99102910 0.30405432 0.92404762 0.49809955 0.91390075 0.27279045
#>  [25] 0.81904601 0.66748852 0.78192742 0.92404762 0.96335957 0.98649546
#>  [31] 0.63551578 0.84850891 0.81904601 0.97277139 0.38881917 0.61049570
#>  [37] 0.78822783 0.46666115 0.37639417 0.61049570 0.87712073 0.53858887
#>  [43] 0.76311307 0.71357678 0.13846919 0.58442279 0.44448055 0.80063231
#>  [49] 0.65155805 0.60182781 0.72846000 0.97277139 0.19213745 0.34817711
#>  [55] 0.31962240 0.68310952 0.83118796 0.38881917 0.05176687 0.45563297
#>  [61] 0.74242518 0.81291669 0.56641029 0.36245021 0.27279045 0.84850891
#>  [67] 0.84850891 0.50842931 0.48769114 0.19213745 0.58442279 0.46666115
#>  [73] 0.65955363 0.80063231 0.88808917 0.62732502 0.10335843 0.31962240
#>  [79] 0.68310952 0.63551578 0.91390075 0.86575027 0.25179433 0.43315780
#>  [85] 0.75636290 0.86575027 0.38881917 0.89355976 0.94417373 0.89355976
#>  [91] 0.89355976 0.98194288 0.71357678 0.93415109 0.72846000 0.56641029
#>  [97] 0.13846919 0.51863913 0.94417373 0.76311307 0.99102910 0.38881917
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   184    92   133   187   149    52   107    51   100    60    85    37    18 
#> 17.77 22.92 14.65  9.92  8.37 10.42 11.18 18.23 16.07 13.15 16.44 12.52 15.21 
#> 184.1    39 187.1  60.1 100.1   127    15    10     8   159    63    81  85.1 
#> 17.77 15.59  9.92 13.15 16.07  3.53 22.68 10.53 18.43 10.55 22.77 14.06 16.44 
#>   180  10.1    16    91   171    14  81.1    70    36    23 133.1    76   197 
#> 14.82 10.53  8.71  5.33 16.57 12.89 14.06  7.38 21.19 16.92 14.65 19.22 21.60 
#>  23.1  37.1   134  18.1    26    69    30   170    57   130    45   125  70.1 
#> 16.92 12.52 17.81 15.21 15.77 23.23 17.43 19.54 14.46 16.47 17.42 15.65  7.38 
#>  92.1   175    66     5  60.2    99    24    58     6    13   111   136  63.1 
#> 22.92 21.91 22.13 16.43 13.15 21.19 23.89 19.34 15.64 14.34 17.45 21.83 22.77 
#>  14.1  14.2    88    97  92.2  30.1  76.1   181  57.1    43   106   168  66.1 
#> 12.89 12.89 18.37 19.14 22.92 17.43 19.22 16.46 14.46 12.10 16.67 23.72 22.13 
#>   5.1 171.1 159.1   177   113    90    29 177.1  99.1 107.1   145 107.2 107.3 
#> 16.43 16.57 10.55 12.53 22.86 20.94 15.45 12.53 21.19 11.18 10.07 11.18 11.18 
#>    25  26.1  52.1 125.1 111.1  69.1   108 145.1  18.2 127.1  99.2   162   200 
#>  6.32 15.77 10.42 15.65 17.45 23.23 18.29 10.07 15.21  3.53 21.19 24.00 24.00 
#>    46    12    87    47   118   174   198   138   119   142    80    67   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  47.1    48    17   156 198.1 156.1   186    53  28.1 174.1    62   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1     3    54   163 119.1   147    84    94   102  54.1    11   182   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    22    64   141   135 135.1  80.1  53.1   112    71  12.1 135.2  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1   131  87.2    72   165  71.1 119.2    82  48.1  82.1  80.2   137 135.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.3 102.1   173  53.2 165.1  47.2 173.1    65   104   103  17.1 173.2 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   146   151  28.2   178    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[70]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002722861               0.443798108               0.318619283 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.08453708             -0.01504077              0.67763612 
#>   grade_iii, Cure model 
#>              2.23885638 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 181   16.46      1  45        0         1
#> 171   16.57      1  41        0         1
#> 153   21.33      1  55        1         0
#> 158   20.14      1  74        1         0
#> 183    9.24      1  67        1         0
#> 181.1 16.46      1  45        0         1
#> 192   16.44      1  31        1         0
#> 171.1 16.57      1  41        0         1
#> 37    12.52      1  57        1         0
#> 189   10.51      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 183.1  9.24      1  67        1         0
#> 59    10.16      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 177   12.53      1  75        0         0
#> 149    8.37      1  33        1         0
#> 81    14.06      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 89    11.44      1  NA        0         0
#> 81.1  14.06      1  34        0         0
#> 155   13.08      1  26        0         0
#> 190   20.81      1  42        1         0
#> 114   13.68      1  NA        0         0
#> 39    15.59      1  37        0         1
#> 61    10.12      1  36        0         1
#> 70.1   7.38      1  30        1         0
#> 154   12.63      1  20        1         0
#> 192.1 16.44      1  31        1         0
#> 181.2 16.46      1  45        0         1
#> 37.1  12.52      1  57        1         0
#> 179   18.63      1  42        0         0
#> 157   15.10      1  47        0         0
#> 70.2   7.38      1  30        1         0
#> 42    12.43      1  49        0         1
#> 51    18.23      1  83        0         1
#> 15    22.68      1  48        0         0
#> 43    12.10      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 81.2  14.06      1  34        0         0
#> 49    12.19      1  48        1         0
#> 192.2 16.44      1  31        1         0
#> 41    18.02      1  40        1         0
#> 70.3   7.38      1  30        1         0
#> 18    15.21      1  49        1         0
#> 14    12.89      1  21        0         0
#> 190.1 20.81      1  42        1         0
#> 88    18.37      1  47        0         0
#> 171.2 16.57      1  41        0         1
#> 14.1  12.89      1  21        0         0
#> 61.1  10.12      1  36        0         1
#> 96    14.54      1  33        0         1
#> 158.1 20.14      1  74        1         0
#> 133   14.65      1  57        0         0
#> 43.2  12.10      1  61        0         1
#> 129   23.41      1  53        1         0
#> 136   21.83      1  43        0         1
#> 26    15.77      1  49        0         1
#> 49.1  12.19      1  48        1         0
#> 36    21.19      1  48        0         1
#> 42.1  12.43      1  49        0         1
#> 180   14.82      1  37        0         0
#> 136.1 21.83      1  43        0         1
#> 129.1 23.41      1  53        1         0
#> 153.1 21.33      1  55        1         0
#> 4     17.64      1  NA        0         1
#> 45    17.42      1  54        0         1
#> 86    23.81      1  58        0         1
#> 26.1  15.77      1  49        0         1
#> 91     5.33      1  61        0         1
#> 69    23.23      1  25        0         1
#> 140   12.68      1  59        1         0
#> 157.1 15.10      1  47        0         0
#> 16     8.71      1  71        0         1
#> 99    21.19      1  38        0         1
#> 91.1   5.33      1  61        0         1
#> 149.1  8.37      1  33        1         0
#> 139   21.49      1  63        1         0
#> 187    9.92      1  39        1         0
#> 63    22.77      1  31        1         0
#> 110   17.56      1  65        0         1
#> 96.1  14.54      1  33        0         1
#> 168   23.72      1  70        0         0
#> 69.1  23.23      1  25        0         1
#> 18.1  15.21      1  49        1         0
#> 134   17.81      1  47        1         0
#> 183.2  9.24      1  67        1         0
#> 57    14.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 113   22.86      1  34        0         0
#> 125   15.65      1  67        1         0
#> 5     16.43      1  51        0         1
#> 61.2  10.12      1  36        0         1
#> 171.3 16.57      1  41        0         1
#> 15.1  22.68      1  48        0         0
#> 127    3.53      1  62        0         1
#> 70.4   7.38      1  30        1         0
#> 60.1  13.15      1  38        1         0
#> 5.1   16.43      1  51        0         1
#> 123   13.00      1  44        1         0
#> 179.1 18.63      1  42        0         0
#> 16.1   8.71      1  71        0         1
#> 15.2  22.68      1  48        0         0
#> 113.1 22.86      1  34        0         0
#> 16.2   8.71      1  71        0         1
#> 56    12.21      1  60        0         0
#> 111   17.45      1  47        0         1
#> 197   21.60      1  69        1         0
#> 49.2  12.19      1  48        1         0
#> 175   21.91      1  43        0         0
#> 107   11.18      1  54        1         0
#> 131   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 102   24.00      0  49        0         0
#> 174   24.00      0  49        1         0
#> 165   24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 156   24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 162   24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 65    24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 118   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 44    24.00      0  56        0         0
#> 172   24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 35    24.00      0  51        0         0
#> 103.1 24.00      0  56        1         0
#> 2     24.00      0   9        0         0
#> 163   24.00      0  66        0         0
#> 165.1 24.00      0  47        0         0
#> 182   24.00      0  35        0         0
#> 165.2 24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 148.1 24.00      0  61        1         0
#> 178   24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 146.1 24.00      0  63        1         0
#> 28    24.00      0  67        1         0
#> 120   24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 165.3 24.00      0  47        0         0
#> 2.1   24.00      0   9        0         0
#> 137   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 148.2 24.00      0  61        1         0
#> 12    24.00      0  63        0         0
#> 33    24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 185   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 172.1 24.00      0  41        0         0
#> 174.1 24.00      0  49        1         0
#> 116   24.00      0  58        0         1
#> 118.1 24.00      0  44        1         0
#> 44.1  24.00      0  56        0         0
#> 131.1 24.00      0  66        0         0
#> 116.1 24.00      0  58        0         1
#> 1     24.00      0  23        1         0
#> 131.2 24.00      0  66        0         0
#> 67.1  24.00      0  25        0         0
#> 21    24.00      0  47        0         0
#> 182.1 24.00      0  35        0         0
#> 80    24.00      0  41        0         0
#> 62.1  24.00      0  71        0         0
#> 196.1 24.00      0  19        0         0
#> 174.2 24.00      0  49        1         0
#> 120.1 24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 151   24.00      0  42        0         0
#> 165.4 24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 141   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 182.2 24.00      0  35        0         0
#> 20.1  24.00      0  46        1         0
#> 7     24.00      0  37        1         0
#> 17    24.00      0  38        0         1
#> 35.1  24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 121   24.00      0  57        1         0
#> 160.2 24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 12.1  24.00      0  63        0         0
#> 48    24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 38    24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 9     24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 84    24.00      0  39        0         1
#> 138   24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.0845        NA        NA      NA
#> 2 age, Cure model          -0.0150        NA        NA      NA
#> 3 grade_ii, Cure model      0.678         NA        NA      NA
#> 4 grade_iii, Cure model     2.24          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00272        NA        NA      NA
#> 2 grade_ii, Survival model   0.444          NA        NA      NA
#> 3 grade_iii, Survival model  0.319          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.08454          -0.01504           0.67764           2.23886  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 237.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.08453708      -0.01504077       0.67763612       2.23885638 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002722861      0.443798108      0.318619283 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.83364174 0.44657173 0.41016957 0.22001676 0.29222281 0.87430292
#>   [7] 0.44657173 0.47379769 0.41016957 0.73412495 0.34161418 0.87430292
#>  [13] 0.65721158 0.72560642 0.92221587 0.63145751 0.93811096 0.63145751
#>  [19] 0.67431281 0.26192992 0.54457660 0.84187541 0.93811096 0.71710633
#>  [25] 0.47379769 0.44657173 0.73412495 0.31182355 0.57065916 0.93811096
#>  [31] 0.75093345 0.35160011 0.12962294 0.80080432 0.80080432 0.63145751
#>  [37] 0.77609192 0.47379769 0.36155862 0.93811096 0.55338367 0.69149752
#>  [43] 0.26192992 0.33155870 0.41016957 0.69149752 0.84187541 0.60550944
#>  [49] 0.29222281 0.59674436 0.80080432 0.04693961 0.17483548 0.51811077
#>  [55] 0.77609192 0.24117602 0.75093345 0.58799775 0.17483548 0.04693961
#>  [61] 0.22001676 0.40054676 0.01215214 0.51811077 0.97664227 0.07184231
#>  [67] 0.70855800 0.57065916 0.89830202 0.24117602 0.97664227 0.92221587
#>  [73] 0.20879236 0.86616153 0.11787333 0.38116376 0.60550944 0.02847592
#>  [79] 0.07184231 0.55338367 0.37140922 0.87430292 0.62278515 0.28206253
#>  [85] 0.09459746 0.53573473 0.50036406 0.84187541 0.41016957 0.12962294
#>  [91] 0.99220021 0.93811096 0.65721158 0.50036406 0.68292584 0.31182355
#>  [97] 0.89830202 0.12962294 0.09459746 0.89830202 0.76766576 0.39088049
#> [103] 0.19737611 0.77609192 0.16282102 0.82539176 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>   159   181   171   153   158   183 181.1   192 171.1    37   108 183.1    60 
#> 10.55 16.46 16.57 21.33 20.14  9.24 16.46 16.44 16.57 12.52 18.29  9.24 13.15 
#>   177   149    81    70  81.1   155   190    39    61  70.1   154 192.1 181.2 
#> 12.53  8.37 14.06  7.38 14.06 13.08 20.81 15.59 10.12  7.38 12.63 16.44 16.46 
#>  37.1   179   157  70.2    42    51    15    43  43.1  81.2    49 192.2    41 
#> 12.52 18.63 15.10  7.38 12.43 18.23 22.68 12.10 12.10 14.06 12.19 16.44 18.02 
#>  70.3    18    14 190.1    88 171.2  14.1  61.1    96 158.1   133  43.2   129 
#>  7.38 15.21 12.89 20.81 18.37 16.57 12.89 10.12 14.54 20.14 14.65 12.10 23.41 
#>   136    26  49.1    36  42.1   180 136.1 129.1 153.1    45    86  26.1    91 
#> 21.83 15.77 12.19 21.19 12.43 14.82 21.83 23.41 21.33 17.42 23.81 15.77  5.33 
#>    69   140 157.1    16    99  91.1 149.1   139   187    63   110  96.1   168 
#> 23.23 12.68 15.10  8.71 21.19  5.33  8.37 21.49  9.92 22.77 17.56 14.54 23.72 
#>  69.1  18.1   134 183.2    57   128   113   125     5  61.2 171.3  15.1   127 
#> 23.23 15.21 17.81  9.24 14.46 20.35 22.86 15.65 16.43 10.12 16.57 22.68  3.53 
#>  70.4  60.1   5.1   123 179.1  16.1  15.2 113.1  16.2    56   111   197  49.2 
#>  7.38 13.15 16.43 13.00 18.63  8.71 22.68 22.86  8.71 12.21 17.45 21.60 12.19 
#>   175   107   131   148   102   174   165   146   156    27   162    75    65 
#> 21.91 11.18 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   118   196    44   172   147    35 103.1     2   163 165.1   182 165.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67 148.1   178   122 146.1    28   120   135 165.3   2.1   137    62 148.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12    33    20   185   126 172.1 174.1   116 118.1  44.1 131.1 116.1     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.2  67.1    21 182.1    80  62.1 196.1 174.2 120.1   200   151 165.4   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   142 182.2  20.1     7    17  35.1   160 160.1   132   121 160.2 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1    48  75.1    38  28.1     9    72    84   138 162.1   186    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[71]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001674849               0.510705567              -0.181238342 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.78391100              0.01238794              0.44547171 
#>   grade_iii, Cure model 
#>              0.78632703 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 114   13.68      1  NA        0         0
#> 43    12.10      1  61        0         1
#> 125   15.65      1  67        1         0
#> 107   11.18      1  54        1         0
#> 68    20.62      1  44        0         0
#> 97    19.14      1  65        0         1
#> 77     7.27      1  67        0         1
#> 179   18.63      1  42        0         0
#> 59    10.16      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 153   21.33      1  55        1         0
#> 52    10.42      1  52        0         1
#> 166   19.98      1  48        0         0
#> 45    17.42      1  54        0         1
#> 192   16.44      1  31        1         0
#> 88    18.37      1  47        0         0
#> 69.1  23.23      1  25        0         1
#> 192.1 16.44      1  31        1         0
#> 105   19.75      1  60        0         0
#> 107.1 11.18      1  54        1         0
#> 50    10.02      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 90    20.94      1  50        0         1
#> 41    18.02      1  40        1         0
#> 171   16.57      1  41        0         1
#> 175   21.91      1  43        0         0
#> 166.1 19.98      1  48        0         0
#> 15    22.68      1  48        0         0
#> 14    12.89      1  21        0         0
#> 145   10.07      1  65        1         0
#> 79    16.23      1  54        1         0
#> 96    14.54      1  33        0         1
#> 167   15.55      1  56        1         0
#> 127    3.53      1  62        0         1
#> 85    16.44      1  36        0         0
#> 14.1  12.89      1  21        0         0
#> 184   17.77      1  38        0         0
#> 149    8.37      1  33        1         0
#> 92    22.92      1  47        0         1
#> 29    15.45      1  68        1         0
#> 150   20.33      1  48        0         0
#> 171.1 16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 183    9.24      1  67        1         0
#> 133   14.65      1  57        0         0
#> 63    22.77      1  31        1         0
#> 158   20.14      1  74        1         0
#> 50.1  10.02      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 76    19.22      1  54        0         1
#> 30    17.43      1  78        0         0
#> 15.1  22.68      1  48        0         0
#> 168   23.72      1  70        0         0
#> 140   12.68      1  59        1         0
#> 93    10.33      1  52        0         1
#> 88.1  18.37      1  47        0         0
#> 5     16.43      1  51        0         1
#> 106   16.67      1  49        1         0
#> 127.1  3.53      1  62        0         1
#> 51    18.23      1  83        0         1
#> 183.1  9.24      1  67        1         0
#> 149.1  8.37      1  33        1         0
#> 69.2  23.23      1  25        0         1
#> 55    19.34      1  69        0         1
#> 113   22.86      1  34        0         0
#> 153.1 21.33      1  55        1         0
#> 181   16.46      1  45        0         1
#> 40    18.00      1  28        1         0
#> 166.2 19.98      1  48        0         0
#> 128   20.35      1  35        0         1
#> 117   17.46      1  26        0         1
#> 194   22.40      1  38        0         1
#> 14.2  12.89      1  21        0         0
#> 179.1 18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 99    21.19      1  38        0         1
#> 111   17.45      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 49    12.19      1  48        1         0
#> 60    13.15      1  38        1         0
#> 114.1 13.68      1  NA        0         0
#> 59.1  10.16      1  NA        1         0
#> 59.2  10.16      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 91     5.33      1  61        0         1
#> 14.3  12.89      1  21        0         0
#> 81    14.06      1  34        0         0
#> 23    16.92      1  61        0         0
#> 145.1 10.07      1  65        1         0
#> 180   14.82      1  37        0         0
#> 136   21.83      1  43        0         1
#> 192.2 16.44      1  31        1         0
#> 190   20.81      1  42        1         0
#> 90.1  20.94      1  50        0         1
#> 86.1  23.81      1  58        0         1
#> 192.3 16.44      1  31        1         0
#> 197   21.60      1  69        1         0
#> 42    12.43      1  49        0         1
#> 150.1 20.33      1  48        0         0
#> 13    14.34      1  54        0         1
#> 114.2 13.68      1  NA        0         0
#> 79.1  16.23      1  54        1         0
#> 39    15.59      1  37        0         1
#> 153.2 21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 18    15.21      1  49        1         0
#> 145.2 10.07      1  65        1         0
#> 150.2 20.33      1  48        0         0
#> 110   17.56      1  65        0         1
#> 55.1  19.34      1  69        0         1
#> 88.2  18.37      1  47        0         0
#> 3     24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 193   24.00      0  45        0         1
#> 7     24.00      0  37        1         0
#> 115   24.00      0  NA        1         0
#> 73    24.00      0  NA        0         1
#> 138   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 53    24.00      0  32        0         1
#> 120   24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 185   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 75    24.00      0  21        1         0
#> 62    24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 21    24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 71    24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 116   24.00      0  58        0         1
#> 142   24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 54.1  24.00      0  53        1         0
#> 120.1 24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 156   24.00      0  50        1         0
#> 193.1 24.00      0  45        0         1
#> 174   24.00      0  49        1         0
#> 120.2 24.00      0  68        0         1
#> 119.1 24.00      0  17        0         0
#> 82    24.00      0  34        0         0
#> 200   24.00      0  64        0         0
#> 176   24.00      0  43        0         1
#> 35    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 138.1 24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 165   24.00      0  47        0         0
#> 35.1  24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 120.3 24.00      0  68        0         1
#> 38    24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 137.1 24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 72.1  24.00      0  40        0         1
#> 148   24.00      0  61        1         0
#> 87    24.00      0  27        0         0
#> 131   24.00      0  66        0         0
#> 7.1   24.00      0  37        1         0
#> 75.1  24.00      0  21        1         0
#> 143   24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 176.2 24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 102   24.00      0  49        0         0
#> 143.1 24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 115.1 24.00      0  NA        1         0
#> 163   24.00      0  66        0         0
#> 47.1  24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 48    24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 172.1 24.00      0  41        0         0
#> 103.1 24.00      0  56        1         0
#> 132   24.00      0  55        0         0
#> 151   24.00      0  42        0         0
#> 67.1  24.00      0  25        0         0
#> 119.2 24.00      0  17        0         0
#> 112.1 24.00      0  61        0         0
#> 122.1 24.00      0  66        0         0
#> 38.1  24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 62.2  24.00      0  71        0         0
#> 200.1 24.00      0  64        0         0
#> 31    24.00      0  36        0         1
#> 138.2 24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 44    24.00      0  56        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.784         NA        NA      NA
#> 2 age, Cure model           0.0124        NA        NA      NA
#> 3 grade_ii, Cure model      0.445         NA        NA      NA
#> 4 grade_iii, Cure model     0.786         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00167        NA        NA      NA
#> 2 grade_ii, Survival model   0.511          NA        NA      NA
#> 3 grade_iii, Survival model -0.181          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.78391           0.01239           0.44547           0.78633  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 252.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.78391100       0.01238794       0.44547171       0.78632703 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001674849      0.510705567     -0.181238342 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.86622425 0.69751601 0.87445011 0.29603852 0.42521414 0.96913316
#>   [7] 0.43517566 0.06178110 0.21356618 0.89057559 0.35674002 0.56088431
#>  [13] 0.61788698 0.45480608 0.06178110 0.61788698 0.38575795 0.87445011
#>  [19] 0.68865699 0.26468096 0.49364628 0.58954237 0.17599844 0.35674002
#>  [25] 0.13893582 0.80022471 0.90679456 0.67102910 0.75786384 0.71505390
#>  [31] 0.98458561 0.61788698 0.80022471 0.51293657 0.95375505 0.09787592
#>  [37] 0.72374045 0.31678729 0.58954237 0.79185250 0.93037752 0.74936359
#>  [43] 0.12600536 0.34672290 0.01150357 0.41526890 0.55129213 0.13893582
#>  [49] 0.03413733 0.83314328 0.89868178 0.45480608 0.66195881 0.58007983
#>  [55] 0.98458561 0.48378037 0.93037752 0.95375505 0.06178110 0.39565690
#>  [61] 0.11199115 0.21356618 0.60837947 0.50336040 0.35674002 0.30639262
#>  [67] 0.53207770 0.16324443 0.80022471 0.43517566 0.84972043 0.24385929
#>  [73] 0.54167661 0.04784081 0.85800432 0.78340942 0.24385929 0.97685706
#>  [79] 0.80022471 0.77489515 0.57049075 0.90679456 0.74085367 0.18868423
#>  [85] 0.61788698 0.28565669 0.26468096 0.01150357 0.61788698 0.20145918
#>  [91] 0.84142800 0.31678729 0.76637538 0.67102910 0.70627883 0.21356618
#>  [97] 0.94593843 0.73233750 0.90679456 0.31678729 0.52250101 0.39565690
#> [103] 0.45480608 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    43   125   107    68    97    77   179    69   153    52   166    45   192 
#> 12.10 15.65 11.18 20.62 19.14  7.27 18.63 23.23 21.33 10.42 19.98 17.42 16.44 
#>    88  69.1 192.1   105 107.1   100    90    41   171   175 166.1    15    14 
#> 18.37 23.23 16.44 19.75 11.18 16.07 20.94 18.02 16.57 21.91 19.98 22.68 12.89 
#>   145    79    96   167   127    85  14.1   184   149    92    29   150 171.1 
#> 10.07 16.23 14.54 15.55  3.53 16.44 12.89 17.77  8.37 22.92 15.45 20.33 16.57 
#>   123   183   133    63   158    86    76    30  15.1   168   140    93  88.1 
#> 13.00  9.24 14.65 22.77 20.14 23.81 19.22 17.43 22.68 23.72 12.68 10.33 18.37 
#>     5   106 127.1    51 183.1 149.1  69.2    55   113 153.1   181    40 166.2 
#> 16.43 16.67  3.53 18.23  9.24  8.37 23.23 19.34 22.86 21.33 16.46 18.00 19.98 
#>   128   117   194  14.2 179.1    56    99   111   164    49    60    36    91 
#> 20.35 17.46 22.40 12.89 18.63 12.21 21.19 17.45 23.60 12.19 13.15 21.19  5.33 
#>  14.3    81    23 145.1   180   136 192.2   190  90.1  86.1 192.3   197    42 
#> 12.89 14.06 16.92 10.07 14.82 21.83 16.44 20.81 20.94 23.81 16.44 21.60 12.43 
#> 150.1    13  79.1    39 153.2    16    18 145.2 150.2   110  55.1  88.2     3 
#> 20.33 14.34 16.23 15.59 21.33  8.71 15.21 10.07 20.33 17.56 19.34 18.37 24.00 
#>     2   193     7   138    94    53   120   137    54   185   119   141    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75    62   121    21    12    71   103   116   142   172    67  54.1 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122   112    20   156 193.1   174 120.2 119.1    82   200   176    35    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1   161   165  35.1     9 120.3    38 176.1 137.1    84  72.1   148    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   7.1  75.1   143    47 176.2 116.1   102 143.1   3.1   163  47.1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   182 172.1 103.1   132   151  67.1 119.2 112.1 122.1  38.1  62.1   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2 200.1    31 138.2    11    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[72]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002255654               0.466698726               0.213462341 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.149632934             0.002440683            -0.114186944 
#>   grade_iii, Cure model 
#>             0.541750560 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 40    18.00      1  28        1         0
#> 124    9.73      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 23    16.92      1  61        0         0
#> 124.1  9.73      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 30    17.43      1  78        0         0
#> 188   16.16      1  46        0         1
#> 85    16.44      1  36        0         0
#> 97    19.14      1  65        0         1
#> 8     18.43      1  32        0         0
#> 51    18.23      1  83        0         1
#> 177   12.53      1  75        0         0
#> 194   22.40      1  38        0         1
#> 188.1 16.16      1  46        0         1
#> 69    23.23      1  25        0         1
#> 179   18.63      1  42        0         0
#> 32    20.90      1  37        1         0
#> 180   14.82      1  37        0         0
#> 40.1  18.00      1  28        1         0
#> 66    22.13      1  53        0         0
#> 194.1 22.40      1  38        0         1
#> 90    20.94      1  50        0         1
#> 129   23.41      1  53        1         0
#> 61    10.12      1  36        0         1
#> 40.2  18.00      1  28        1         0
#> 37    12.52      1  57        1         0
#> 101    9.97      1  10        0         1
#> 106   16.67      1  49        1         0
#> 128.1 20.35      1  35        0         1
#> 52    10.42      1  52        0         1
#> 181   16.46      1  45        0         1
#> 6     15.64      1  39        0         0
#> 79    16.23      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 179.1 18.63      1  42        0         0
#> 100   16.07      1  60        0         0
#> 97.1  19.14      1  65        0         1
#> 140   12.68      1  59        1         0
#> 90.1  20.94      1  50        0         1
#> 170   19.54      1  43        0         1
#> 16     8.71      1  71        0         1
#> 134   17.81      1  47        1         0
#> 59    10.16      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 127    3.53      1  62        0         1
#> 63    22.77      1  31        1         0
#> 78    23.88      1  43        0         0
#> 101.1  9.97      1  10        0         1
#> 66.1  22.13      1  53        0         0
#> 125   15.65      1  67        1         0
#> 39    15.59      1  37        0         1
#> 18    15.21      1  49        1         0
#> 69.1  23.23      1  25        0         1
#> 45    17.42      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 105   19.75      1  60        0         0
#> 66.2  22.13      1  53        0         0
#> 88    18.37      1  47        0         0
#> 150   20.33      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 179.2 18.63      1  42        0         0
#> 171   16.57      1  41        0         1
#> 140.1 12.68      1  59        1         0
#> 117   17.46      1  26        0         1
#> 145.1 10.07      1  65        1         0
#> 101.2  9.97      1  10        0         1
#> 89    11.44      1  NA        0         0
#> 18.1  15.21      1  49        1         0
#> 188.2 16.16      1  46        0         1
#> 164   23.60      1  76        0         1
#> 188.3 16.16      1  46        0         1
#> 88.1  18.37      1  47        0         0
#> 81    14.06      1  34        0         0
#> 10    10.53      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 170.1 19.54      1  43        0         1
#> 15    22.68      1  48        0         0
#> 192   16.44      1  31        1         0
#> 18.2  15.21      1  49        1         0
#> 136   21.83      1  43        0         1
#> 25     6.32      1  34        1         0
#> 30.1  17.43      1  78        0         0
#> 130   16.47      1  53        0         1
#> 93    10.33      1  52        0         1
#> 42    12.43      1  49        0         1
#> 5     16.43      1  51        0         1
#> 59.1  10.16      1  NA        1         0
#> 117.1 17.46      1  26        0         1
#> 40.3  18.00      1  28        1         0
#> 183    9.24      1  67        1         0
#> 91     5.33      1  61        0         1
#> 177.1 12.53      1  75        0         0
#> 78.1  23.88      1  43        0         0
#> 136.1 21.83      1  43        0         1
#> 189.1 10.51      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 150.1 20.33      1  48        0         0
#> 8.1   18.43      1  32        0         0
#> 164.1 23.60      1  76        0         1
#> 50    10.02      1  NA        1         0
#> 180.1 14.82      1  37        0         0
#> 140.2 12.68      1  59        1         0
#> 50.1  10.02      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 189.2 10.51      1  NA        1         0
#> 5.1   16.43      1  51        0         1
#> 181.1 16.46      1  45        0         1
#> 139.1 21.49      1  63        1         0
#> 184   17.77      1  38        0         0
#> 134.1 17.81      1  47        1         0
#> 172   24.00      0  41        0         0
#> 160   24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 98    24.00      0  34        1         0
#> 122   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 118   24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 31    24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 182   24.00      0  35        0         0
#> 103   24.00      0  56        1         0
#> 193.1 24.00      0  45        0         1
#> 67    24.00      0  25        0         0
#> 137   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 3.1   24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 120   24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 87    24.00      0  27        0         0
#> 176   24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 104   24.00      0  50        1         0
#> 156   24.00      0  50        1         0
#> 161   24.00      0  45        0         0
#> 64    24.00      0  43        0         0
#> 62.1  24.00      0  71        0         0
#> 193.2 24.00      0  45        0         1
#> 7     24.00      0  37        1         0
#> 119   24.00      0  17        0         0
#> 7.1   24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 147   24.00      0  76        1         0
#> 47    24.00      0  38        0         1
#> 137.1 24.00      0  45        1         0
#> 84.1  24.00      0  39        0         1
#> 200   24.00      0  64        0         0
#> 21    24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 152   24.00      0  36        0         1
#> 146.1 24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 173   24.00      0  19        0         1
#> 94    24.00      0  51        0         1
#> 135.1 24.00      0  58        1         0
#> 142.1 24.00      0  53        0         0
#> 94.1  24.00      0  51        0         1
#> 11    24.00      0  42        0         1
#> 115   24.00      0  NA        1         0
#> 142.2 24.00      0  53        0         0
#> 62.2  24.00      0  71        0         0
#> 104.1 24.00      0  50        1         0
#> 109.1 24.00      0  48        0         0
#> 103.1 24.00      0  56        1         0
#> 21.1  24.00      0  47        0         0
#> 27    24.00      0  63        1         0
#> 11.1  24.00      0  42        0         1
#> 163   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 34    24.00      0  36        0         0
#> 19.1  24.00      0  57        0         1
#> 47.1  24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 116.1 24.00      0  58        0         1
#> 47.2  24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 185   24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 193.3 24.00      0  45        0         1
#> 172.2 24.00      0  41        0         0
#> 74    24.00      0  43        0         1
#> 27.1  24.00      0  63        1         0
#> 116.2 24.00      0  58        0         1
#> 163.1 24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 67.1  24.00      0  25        0         0
#> 104.2 24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 35    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.150          NA        NA      NA
#> 2 age, Cure model          0.00244        NA        NA      NA
#> 3 grade_ii, Cure model    -0.114          NA        NA      NA
#> 4 grade_iii, Cure model    0.542          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00226        NA        NA      NA
#> 2 grade_ii, Survival model   0.467          NA        NA      NA
#> 3 grade_iii, Survival model  0.213          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.149633          0.002441         -0.114187          0.541751  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.1 
#> Residual Deviance: 253.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.149632934      0.002440683     -0.114186944      0.541750560 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002255654      0.466698726      0.213462341 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.51324217 0.27353587 0.63061609 0.32972846 0.60400269 0.72474567
#>   [7] 0.68272889 0.41387585 0.46362011 0.50333406 0.85932647 0.18529437
#>  [13] 0.72474567 0.12688026 0.43399514 0.31869147 0.81293843 0.51324217
#>  [19] 0.21157062 0.18529437 0.29644469 0.10985359 0.91241958 0.51324217
#>  [25] 0.87457973 0.93467053 0.63947771 0.32972846 0.89734252 0.66564792
#>  [31] 0.77332482 0.71639711 0.43399514 0.75702197 0.41387585 0.83647399
#>  [37] 0.29644469 0.39332381 0.96387104 0.54982633 0.91992459 0.99282539
#>  [43] 0.15640707 0.03004449 0.93467053 0.21157062 0.76521051 0.78143131
#>  [49] 0.78950883 0.12688026 0.62173607 0.97115245 0.38270537 0.21157062
#>  [55] 0.48352263 0.35095898 0.43399514 0.64824445 0.83647399 0.57708569
#>  [61] 0.91992459 0.93467053 0.78950883 0.72474567 0.07445846 0.72474567
#>  [67] 0.48352263 0.82860784 0.88976669 0.39332381 0.17092010 0.68272889
#>  [73] 0.78950883 0.24889993 0.97840992 0.60400269 0.65696895 0.90489336
#>  [79] 0.88218572 0.69964174 0.57708569 0.51324217 0.95656463 0.98562874
#>  [85] 0.85932647 0.03004449 0.24889993 0.59501886 0.35095898 0.46362011
#>  [91] 0.07445846 0.81293843 0.83647399 0.37204409 0.69964174 0.66564792
#>  [97] 0.27353587 0.56795897 0.54982633 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    40   139    23   128    30   188    85    97     8    51   177   194 188.1 
#> 18.00 21.49 16.92 20.35 17.43 16.16 16.44 19.14 18.43 18.23 12.53 22.40 16.16 
#>    69   179    32   180  40.1    66 194.1    90   129    61  40.2    37   101 
#> 23.23 18.63 20.90 14.82 18.00 22.13 22.40 20.94 23.41 10.12 18.00 12.52  9.97 
#>   106 128.1    52   181     6    79 179.1   100  97.1   140  90.1   170    16 
#> 16.67 20.35 10.42 16.46 15.64 16.23 18.63 16.07 19.14 12.68 20.94 19.54  8.71 
#>   134   145   127    63    78 101.1  66.1   125    39    18  69.1    45    77 
#> 17.81 10.07  3.53 22.77 23.88  9.97 22.13 15.65 15.59 15.21 23.23 17.42  7.27 
#>   105  66.2    88   150 179.2   171 140.1   117 145.1 101.2  18.1 188.2   164 
#> 19.75 22.13 18.37 20.33 18.63 16.57 12.68 17.46 10.07  9.97 15.21 16.16 23.60 
#> 188.3  88.1    81    10 170.1    15   192  18.2   136    25  30.1   130    93 
#> 16.16 18.37 14.06 10.53 19.54 22.68 16.44 15.21 21.83  6.32 17.43 16.47 10.33 
#>    42     5 117.1  40.3   183    91 177.1  78.1 136.1   111 150.1   8.1 164.1 
#> 12.43 16.43 17.46 18.00  9.24  5.33 12.53 23.88 21.83 17.45 20.33 18.43 23.60 
#> 180.1 140.2   166   5.1 181.1 139.1   184 134.1   172   160    84    98   122 
#> 14.82 12.68 19.98 16.43 16.46 21.49 17.77 17.81 24.00 24.00 24.00 24.00 24.00 
#>   135   146   116   118 172.1    31     3   193   182   103 193.1    67   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   3.1    71    17    82   120    19    87   176    65    38   109   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   161    64  62.1 193.2     7   119   7.1   142   147    47 137.1  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200    21   148   152 146.1    80   173    94 135.1 142.1  94.1    11 142.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2 104.1 109.1 103.1  21.1    27  11.1   163     2    34  19.1  47.1   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1  47.2    20   185 147.1 193.3 172.2    74  27.1 116.2 163.1    72  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.2    46    35    54 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[73]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02026082                0.56877995                0.25512911 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.99875020              0.01547455              0.29847786 
#>   grade_iii, Cure model 
#>              1.05651440 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 39    15.59      1  37        0         1
#> 14    12.89      1  21        0         0
#> 88    18.37      1  47        0         0
#> 93    10.33      1  52        0         1
#> 90    20.94      1  50        0         1
#> 89    11.44      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 189   10.51      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 184   17.77      1  38        0         0
#> 15    22.68      1  48        0         0
#> 40    18.00      1  28        1         0
#> 41    18.02      1  40        1         0
#> 158.1 20.14      1  74        1         0
#> 4     17.64      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 63    22.77      1  31        1         0
#> 66    22.13      1  53        0         0
#> 52    10.42      1  52        0         1
#> 25     6.32      1  34        1         0
#> 189.1 10.51      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 97    19.14      1  65        0         1
#> 117   17.46      1  26        0         1
#> 66.1  22.13      1  53        0         0
#> 114   13.68      1  NA        0         0
#> 60.1  13.15      1  38        1         0
#> 68    20.62      1  44        0         0
#> 96    14.54      1  33        0         1
#> 96.1  14.54      1  33        0         1
#> 181   16.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 58    19.34      1  39        0         0
#> 88.1  18.37      1  47        0         0
#> 155   13.08      1  26        0         0
#> 25.1   6.32      1  34        1         0
#> 111   17.45      1  47        0         1
#> 15.1  22.68      1  48        0         0
#> 70     7.38      1  30        1         0
#> 168   23.72      1  70        0         0
#> 136   21.83      1  43        0         1
#> 123   13.00      1  44        1         0
#> 88.2  18.37      1  47        0         0
#> 89.1  11.44      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 57    14.46      1  45        0         1
#> 85    16.44      1  36        0         0
#> 183    9.24      1  67        1         0
#> 124.1  9.73      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 111.1 17.45      1  47        0         1
#> 166   19.98      1  48        0         0
#> 55    19.34      1  69        0         1
#> 124.2  9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 128   20.35      1  35        0         1
#> 79    16.23      1  54        1         0
#> 139   21.49      1  63        1         0
#> 179   18.63      1  42        0         0
#> 158.2 20.14      1  74        1         0
#> 153   21.33      1  55        1         0
#> 29    15.45      1  68        1         0
#> 125.1 15.65      1  67        1         0
#> 61    10.12      1  36        0         1
#> 136.1 21.83      1  43        0         1
#> 113   22.86      1  34        0         0
#> 106   16.67      1  49        1         0
#> 124.3  9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 129   23.41      1  53        1         0
#> 85.1  16.44      1  36        0         0
#> 92    22.92      1  47        0         1
#> 88.3  18.37      1  47        0         0
#> 129.1 23.41      1  53        1         0
#> 6     15.64      1  39        0         0
#> 26    15.77      1  49        0         1
#> 10    10.53      1  34        0         0
#> 136.2 21.83      1  43        0         1
#> 134   17.81      1  47        1         0
#> 4.1   17.64      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 81    14.06      1  34        0         0
#> 26.1  15.77      1  49        0         1
#> 51    18.23      1  83        0         1
#> 166.1 19.98      1  48        0         0
#> 180   14.82      1  37        0         0
#> 86    23.81      1  58        0         1
#> 123.1 13.00      1  44        1         0
#> 18    15.21      1  49        1         0
#> 181.1 16.46      1  45        0         1
#> 18.1  15.21      1  49        1         0
#> 155.1 13.08      1  26        0         0
#> 114.1 13.68      1  NA        0         0
#> 127    3.53      1  62        0         1
#> 23    16.92      1  61        0         0
#> 86.1  23.81      1  58        0         1
#> 36.1  21.19      1  48        0         1
#> 129.2 23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 30    17.43      1  78        0         0
#> 15.2  22.68      1  48        0         0
#> 39.1  15.59      1  37        0         1
#> 57.1  14.46      1  45        0         1
#> 168.1 23.72      1  70        0         0
#> 145   10.07      1  65        1         0
#> 154   12.63      1  20        1         0
#> 50    10.02      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 69    23.23      1  25        0         1
#> 167   15.55      1  56        1         0
#> 46    24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 163   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 53    24.00      0  32        0         1
#> 20    24.00      0  46        1         0
#> 104   24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 7     24.00      0  37        1         0
#> 182   24.00      0  35        0         0
#> 196   24.00      0  19        0         0
#> 83    24.00      0   6        0         0
#> 31    24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 22    24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 72    24.00      0  40        0         1
#> 120   24.00      0  68        0         1
#> 104.1 24.00      0  50        1         0
#> 12    24.00      0  63        0         0
#> 135   24.00      0  58        1         0
#> 138.1 24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 34    24.00      0  36        0         0
#> 94    24.00      0  51        0         1
#> 118   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 147   24.00      0  76        1         0
#> 38    24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 112   24.00      0  61        0         0
#> 118.1 24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 173   24.00      0  19        0         1
#> 131   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 17    24.00      0  38        0         1
#> 132.1 24.00      0  55        0         0
#> 103   24.00      0  56        1         0
#> 21    24.00      0  47        0         0
#> 118.2 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 138.2 24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 131.1 24.00      0  66        0         0
#> 165.1 24.00      0  47        0         0
#> 119.1 24.00      0  17        0         0
#> 104.2 24.00      0  50        1         0
#> 176.1 24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 196.1 24.00      0  19        0         0
#> 156   24.00      0  50        1         0
#> 72.1  24.00      0  40        0         1
#> 21.1  24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 196.2 24.00      0  19        0         0
#> 162   24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 146.1 24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 196.3 24.00      0  19        0         0
#> 173.1 24.00      0  19        0         1
#> 67    24.00      0  25        0         0
#> 53.1  24.00      0  32        0         1
#> 112.1 24.00      0  61        0         0
#> 142   24.00      0  53        0         0
#> 198.1 24.00      0  66        0         1
#> 151.1 24.00      0  42        0         0
#> 172.1 24.00      0  41        0         0
#> 65    24.00      0  57        1         0
#> 21.2  24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 141.1 24.00      0  44        1         0
#> 87    24.00      0  27        0         0
#> 122.1 24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 109   24.00      0  48        0         0
#> 118.3 24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 7.1   24.00      0  37        1         0
#> 80    24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.999         NA        NA      NA
#> 2 age, Cure model           0.0155        NA        NA      NA
#> 3 grade_ii, Cure model      0.298         NA        NA      NA
#> 4 grade_iii, Cure model     1.06          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0203        NA        NA      NA
#> 2 grade_ii, Survival model    0.569         NA        NA      NA
#> 3 grade_iii, Survival model   0.255         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.99875           0.01547           0.29848           1.05651  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.6 
#> Residual Deviance: 247.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.99875020       0.01547455       0.29847786       1.05651440 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02026082       0.56877995       0.25512911 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 4.337781e-01 7.287571e-01 1.405478e-01 8.507836e-01 6.426067e-02
#>   [6] 5.474145e-02 8.036551e-02 2.108750e-01 1.642134e-02 1.920422e-01
#>  [11] 1.826954e-01 8.036551e-02 6.295061e-01 1.409687e-02 2.426150e-02
#>  [16] 8.151461e-01 9.435149e-01 8.151461e-01 3.931326e-01 1.251675e-01
#>  [21] 2.306064e-01 2.426150e-02 6.295061e-01 6.942233e-02 5.353607e-01
#>  [26] 5.353607e-01 3.064542e-01 4.160237e-02 1.110404e-01 1.405478e-01
#>  [31] 6.619979e-01 9.435149e-01 2.407209e-01 1.642134e-02 9.247208e-01
#>  [36] 6.911648e-04 3.081034e-02 6.951564e-01 1.405478e-01 1.630743e-05
#>  [41] 5.658288e-01 3.300880e-01 9.059414e-01 7.629617e-01 2.407209e-01
#>  [46] 9.793717e-02 1.110404e-01 2.948404e-01 7.482087e-02 3.546321e-01
#>  [51] 4.579018e-02 1.327300e-01 8.036551e-02 5.018184e-02 4.761307e-01
#>  [56] 3.931326e-01 8.690051e-01 3.081034e-02 1.179506e-02 2.834769e-01
#>  [61] 5.971080e-01 3.567810e-03 3.300880e-01 9.697633e-03 1.405478e-01
#>  [66] 3.567810e-03 4.199188e-01 3.673066e-01 7.975560e-01 3.081034e-02
#>  [71] 2.013885e-01 2.205964e-01 6.132005e-01 3.673066e-01 1.734502e-01
#>  [76] 9.793717e-02 5.202001e-01 1.413437e-04 6.951564e-01 4.907667e-01
#>  [81] 3.064542e-01 4.907667e-01 6.619979e-01 9.808956e-01 2.722687e-01
#>  [86] 1.413437e-04 5.474145e-02 3.567810e-03 2.175312e-03 2.613785e-01
#>  [91] 1.642134e-02 4.337781e-01 5.658288e-01 6.911648e-04 8.873720e-01
#>  [96] 7.458942e-01 7.801570e-01 7.806269e-03 4.617401e-01 0.000000e+00
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    39    14    88    93    90    36   158   184    15    40    41 158.1    60 
#> 15.59 12.89 18.37 10.33 20.94 21.19 20.14 17.77 22.68 18.00 18.02 20.14 13.15 
#>    63    66    52    25  52.1   125    97   117  66.1  60.1    68    96  96.1 
#> 22.77 22.13 10.42  6.32 10.42 15.65 19.14 17.46 22.13 13.15 20.62 14.54 14.54 
#>   181   197    58  88.1   155  25.1   111  15.1    70   168   136   123  88.2 
#> 16.46 21.60 19.34 18.37 13.08  6.32 17.45 22.68  7.38 23.72 21.83 13.00 18.37 
#>    24    57    85   183    49 111.1   166    55   130   128    79   139   179 
#> 23.89 14.46 16.44  9.24 12.19 17.45 19.98 19.34 16.47 20.35 16.23 21.49 18.63 
#> 158.2   153    29 125.1    61 136.1   113   106    13   129  85.1    92  88.3 
#> 20.14 21.33 15.45 15.65 10.12 21.83 22.86 16.67 14.34 23.41 16.44 22.92 18.37 
#> 129.1     6    26    10 136.2   134   110    81  26.1    51 166.1   180    86 
#> 23.41 15.64 15.77 10.53 21.83 17.81 17.56 14.06 15.77 18.23 19.98 14.82 23.81 
#> 123.1    18 181.1  18.1 155.1   127    23  86.1  36.1 129.2   164    30  15.2 
#> 13.00 15.21 16.46 15.21 13.08  3.53 16.92 23.81 21.19 23.41 23.60 17.43 22.68 
#>  39.1  57.1 168.1   145   154   159    69   167    46   119   163    35   141 
#> 15.59 14.46 23.72 10.07 12.63 10.55 23.23 15.55 24.00 24.00 24.00 24.00 24.00 
#>    84    53    20   104    54     7   182   196    83    31   138   126    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    72   120 104.1    12   135 138.1   151    34    94   118   132   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    82   112 118.1   178   173   131   172   165   161    17 132.1   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21 118.2   146 138.2   176 131.1 165.1 119.1 104.2 176.1    64 196.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1  21.1   198 196.2   162  31.1 146.1   186 196.3 173.1    67  53.1 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142 198.1 151.1 172.1    65  21.2   122     1 141.1    87 122.1    48  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109 118.3 103.1   7.1    80 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[74]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004713134               0.861160710               0.285250391 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.93449280              0.01974741             -0.54299212 
#>   grade_iii, Cure model 
#>              0.97751579 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 123   13.00      1  44        1         0
#> 110   17.56      1  65        0         1
#> 55    19.34      1  69        0         1
#> 32    20.90      1  37        1         0
#> 88    18.37      1  47        0         0
#> 76    19.22      1  54        0         1
#> 158   20.14      1  74        1         0
#> 4     17.64      1  NA        0         1
#> 136   21.83      1  43        0         1
#> 130   16.47      1  53        0         1
#> 130.1 16.47      1  53        0         1
#> 57    14.46      1  45        0         1
#> 85    16.44      1  36        0         0
#> 50    10.02      1  NA        1         0
#> 50.1  10.02      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 77     7.27      1  67        0         1
#> 4.1   17.64      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 50.2  10.02      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 136.1 21.83      1  43        0         1
#> 42    12.43      1  49        0         1
#> 68.1  20.62      1  44        0         0
#> 106   16.67      1  49        1         0
#> 86    23.81      1  58        0         1
#> 128   20.35      1  35        0         1
#> 133   14.65      1  57        0         0
#> 58    19.34      1  39        0         0
#> 58.1  19.34      1  39        0         0
#> 124    9.73      1  NA        1         0
#> 86.1  23.81      1  58        0         1
#> 37    12.52      1  57        1         0
#> 117   17.46      1  26        0         1
#> 108   18.29      1  39        0         1
#> 192   16.44      1  31        1         0
#> 90    20.94      1  50        0         1
#> 45    17.42      1  54        0         1
#> 171   16.57      1  41        0         1
#> 92    22.92      1  47        0         1
#> 37.1  12.52      1  57        1         0
#> 171.1 16.57      1  41        0         1
#> 110.1 17.56      1  65        0         1
#> 136.2 21.83      1  43        0         1
#> 170   19.54      1  43        0         1
#> 194   22.40      1  38        0         1
#> 175   21.91      1  43        0         0
#> 77.1   7.27      1  67        0         1
#> 168   23.72      1  70        0         0
#> 107   11.18      1  54        1         0
#> 8     18.43      1  32        0         0
#> 66    22.13      1  53        0         0
#> 113   22.86      1  34        0         0
#> 167   15.55      1  56        1         0
#> 101    9.97      1  10        0         1
#> 18    15.21      1  49        1         0
#> 107.1 11.18      1  54        1         0
#> 169   22.41      1  46        0         0
#> 52    10.42      1  52        0         1
#> 123.1 13.00      1  44        1         0
#> 197   21.60      1  69        1         0
#> 140   12.68      1  59        1         0
#> 61    10.12      1  36        0         1
#> 14    12.89      1  21        0         0
#> 92.1  22.92      1  47        0         1
#> 85.1  16.44      1  36        0         0
#> 130.2 16.47      1  53        0         1
#> 183    9.24      1  67        1         0
#> 194.1 22.40      1  38        0         1
#> 26    15.77      1  49        0         1
#> 155   13.08      1  26        0         0
#> 18.1  15.21      1  49        1         0
#> 100   16.07      1  60        0         0
#> 184   17.77      1  38        0         0
#> 189   10.51      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 36    21.19      1  48        0         1
#> 66.1  22.13      1  53        0         0
#> 108.1 18.29      1  39        0         1
#> 50.3  10.02      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 171.2 16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 105   19.75      1  60        0         0
#> 24    23.89      1  38        0         0
#> 189.1 10.51      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 86.2  23.81      1  58        0         1
#> 189.2 10.51      1  NA        1         0
#> 189.3 10.51      1  NA        1         0
#> 130.3 16.47      1  53        0         1
#> 117.1 17.46      1  26        0         1
#> 133.1 14.65      1  57        0         0
#> 153   21.33      1  55        1         0
#> 194.2 22.40      1  38        0         1
#> 134   17.81      1  47        1         0
#> 78    23.88      1  43        0         0
#> 111.1 17.45      1  47        0         1
#> 23.1  16.92      1  61        0         0
#> 129   23.41      1  53        1         0
#> 110.2 17.56      1  65        0         1
#> 57.1  14.46      1  45        0         1
#> 90.1  20.94      1  50        0         1
#> 78.1  23.88      1  43        0         0
#> 128.1 20.35      1  35        0         1
#> 60    13.15      1  38        1         0
#> 194.3 22.40      1  38        0         1
#> 30    17.43      1  78        0         0
#> 113.1 22.86      1  34        0         0
#> 175.1 21.91      1  43        0         0
#> 155.1 13.08      1  26        0         0
#> 15    22.68      1  48        0         0
#> 19    24.00      0  57        0         1
#> 12    24.00      0  63        0         0
#> 73    24.00      0  NA        0         1
#> 118   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 65    24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 3     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 191   24.00      0  60        0         1
#> 176   24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 64    24.00      0  43        0         0
#> 104.1 24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 73.1  24.00      0  NA        0         1
#> 172   24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 147   24.00      0  76        1         0
#> 173   24.00      0  19        0         1
#> 152   24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 118.1 24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 172.2 24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 151   24.00      0  42        0         0
#> 11    24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 12.1  24.00      0  63        0         0
#> 186   24.00      0  45        1         0
#> 98    24.00      0  34        1         0
#> 48    24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 65.1  24.00      0  57        1         0
#> 118.2 24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 33.1  24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 31.1  24.00      0  36        0         1
#> 148.1 24.00      0  61        1         0
#> 82    24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 17    24.00      0  38        0         1
#> 122.1 24.00      0  66        0         0
#> 147.1 24.00      0  76        1         0
#> 173.1 24.00      0  19        0         1
#> 84    24.00      0  39        0         1
#> 118.3 24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 109   24.00      0  48        0         0
#> 31.2  24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 122.2 24.00      0  66        0         0
#> 173.2 24.00      0  19        0         1
#> 80    24.00      0  41        0         0
#> 12.2  24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 144.1 24.00      0  28        0         1
#> 146.1 24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 109.1 24.00      0  48        0         0
#> 35    24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 2     24.00      0   9        0         0
#> 47.1  24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 172.3 24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 80.1  24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 44.1  24.00      0  56        0         0
#> 172.4 24.00      0  41        0         0
#> 165.1 24.00      0  47        0         0
#> 138.1 24.00      0  44        1         0
#> 172.5 24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.934         NA        NA      NA
#> 2 age, Cure model           0.0197        NA        NA      NA
#> 3 grade_ii, Cure model     -0.543         NA        NA      NA
#> 4 grade_iii, Cure model     0.978         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00471        NA        NA      NA
#> 2 grade_ii, Survival model   0.861          NA        NA      NA
#> 3 grade_iii, Survival model  0.285          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.93449           0.01975          -0.54299           0.97752  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 241.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.93449280       0.01974741      -0.54299212       0.97751579 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004713134      0.861160710      0.285250391 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.859512011 0.518984534 0.420816396 0.341818415 0.469773994 0.449920671
#>   [7] 0.391295194 0.247176595 0.663592172 0.663592172 0.813575056 0.710858607
#>  [13] 0.351770242 0.982847515 0.895451570 0.605889861 0.247176595 0.922036143
#>  [19] 0.351770242 0.625387706 0.042253467 0.371599750 0.795088696 0.420816396
#>  [25] 0.420816396 0.042253467 0.904436615 0.547844372 0.479757647 0.710858607
#>  [31] 0.321632937 0.596140281 0.635080116 0.096860959 0.904436615 0.635080116
#>  [37] 0.518984534 0.247176595 0.410969743 0.162422818 0.224868020 0.982847515
#>  [43] 0.072867663 0.930873576 0.459832329 0.202959599 0.117846495 0.758062435
#>  [49] 0.965573081 0.767492090 0.930873576 0.150830468 0.948191530 0.859512011
#>  [55] 0.279511180 0.886493290 0.956887141 0.877462777 0.096860959 0.710858607
#>  [61] 0.663592172 0.974238066 0.162422818 0.748535959 0.841208517 0.767492090
#>  [67] 0.739002714 0.509192282 0.701256652 0.311343526 0.202959599 0.479757647
#>  [73] 0.290423377 0.635080116 0.567136560 0.401102750 0.005683369 0.785842111
#>  [79] 0.042253467 0.663592172 0.547844372 0.795088696 0.301033433 0.162422818
#>  [85] 0.499430816 0.018796741 0.567136560 0.605889861 0.085568196 0.518984534
#>  [91] 0.813575056 0.321632937 0.018796741 0.371599750 0.832029607 0.162422818
#>  [97] 0.586385724 0.117846495 0.224868020 0.841208517 0.139409550 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   123   110    55    32    88    76   158   136   130 130.1    57    85    68 
#> 13.00 17.56 19.34 20.90 18.37 19.22 20.14 21.83 16.47 16.47 14.46 16.44 20.62 
#>    77   177    23 136.1    42  68.1   106    86   128   133    58  58.1  86.1 
#>  7.27 12.53 16.92 21.83 12.43 20.62 16.67 23.81 20.35 14.65 19.34 19.34 23.81 
#>    37   117   108   192    90    45   171    92  37.1 171.1 110.1 136.2   170 
#> 12.52 17.46 18.29 16.44 20.94 17.42 16.57 22.92 12.52 16.57 17.56 21.83 19.54 
#>   194   175  77.1   168   107     8    66   113   167   101    18 107.1   169 
#> 22.40 21.91  7.27 23.72 11.18 18.43 22.13 22.86 15.55  9.97 15.21 11.18 22.41 
#>    52 123.1   197   140    61    14  92.1  85.1 130.2   183 194.1    26   155 
#> 10.42 13.00 21.60 12.68 10.12 12.89 22.92 16.44 16.47  9.24 22.40 15.77 13.08 
#>  18.1   100   184   181    36  66.1 108.1   139 171.2   111   105    24   180 
#> 15.21 16.07 17.77 16.46 21.19 22.13 18.29 21.49 16.57 17.45 19.75 23.89 14.82 
#>  86.2 130.3 117.1 133.1   153 194.2   134    78 111.1  23.1   129 110.2  57.1 
#> 23.81 16.47 17.46 14.65 21.33 22.40 17.81 23.88 17.45 16.92 23.41 17.56 14.46 
#>  90.1  78.1 128.1    60 194.3    30 113.1 175.1 155.1    15    19    12   118 
#> 20.94 23.88 20.35 13.15 22.40 17.43 22.86 21.91 13.08 22.68 24.00 24.00 24.00 
#>   138   104    33   137   144    65     1     3   196   191   176    47   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 104.1   163   172     7   147   173   152    62 118.1 172.1    72 172.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   120   148   151    11   146   122  12.1   186    98    48   178  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.2 137.1  33.1    31  31.1 148.1    82   165   121    17 122.1 147.1 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84 118.3   182   109  31.2    44 122.2 173.2    80  12.2    75 144.1 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22 109.1    35    20     2  47.1    27 172.3   112  80.1   141 178.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1 172.4 165.1 138.1 172.5 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[75]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002773868               0.187969687               0.151831305 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.32628361              0.01728725              0.91043232 
#>   grade_iii, Cure model 
#>              1.29170448 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 197   21.60      1  69        1         0
#> 177   12.53      1  75        0         0
#> 187    9.92      1  39        1         0
#> 195   11.76      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 49    12.19      1  48        1         0
#> 5     16.43      1  51        0         1
#> 85    16.44      1  36        0         0
#> 97    19.14      1  65        0         1
#> 68    20.62      1  44        0         0
#> 59    10.16      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 190   20.81      1  42        1         0
#> 188   16.16      1  46        0         1
#> 41    18.02      1  40        1         0
#> 78    23.88      1  43        0         0
#> 183    9.24      1  67        1         0
#> 166   19.98      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 129   23.41      1  53        1         0
#> 175   21.91      1  43        0         0
#> 14    12.89      1  21        0         0
#> 41.1  18.02      1  40        1         0
#> 159   10.55      1  50        0         1
#> 130   16.47      1  53        0         1
#> 197.1 21.60      1  69        1         0
#> 129.1 23.41      1  53        1         0
#> 127    3.53      1  62        0         1
#> 150   20.33      1  48        0         0
#> 136   21.83      1  43        0         1
#> 8     18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 127.1  3.53      1  62        0         1
#> 16     8.71      1  71        0         1
#> 149    8.37      1  33        1         0
#> 129.2 23.41      1  53        1         0
#> 93    10.33      1  52        0         1
#> 40    18.00      1  28        1         0
#> 5.1   16.43      1  51        0         1
#> 50    10.02      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 69    23.23      1  25        0         1
#> 114.1 13.68      1  NA        0         0
#> 39    15.59      1  37        0         1
#> 41.2  18.02      1  40        1         0
#> 37    12.52      1  57        1         0
#> 57    14.46      1  45        0         1
#> 166.1 19.98      1  48        0         0
#> 149.1  8.37      1  33        1         0
#> 150.1 20.33      1  48        0         0
#> 23    16.92      1  61        0         0
#> 140   12.68      1  59        1         0
#> 171   16.57      1  41        0         1
#> 4     17.64      1  NA        0         1
#> 68.1  20.62      1  44        0         0
#> 195.1 11.76      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 167   15.55      1  56        1         0
#> 86    23.81      1  58        0         1
#> 23.1  16.92      1  61        0         0
#> 16.1   8.71      1  71        0         1
#> 60    13.15      1  38        1         0
#> 13    14.34      1  54        0         1
#> 128   20.35      1  35        0         1
#> 89    11.44      1  NA        0         0
#> 26.1  15.77      1  49        0         1
#> 37.1  12.52      1  57        1         0
#> 23.2  16.92      1  61        0         0
#> 5.2   16.43      1  51        0         1
#> 106   16.67      1  49        1         0
#> 96    14.54      1  33        0         1
#> 117   17.46      1  26        0         1
#> 52    10.42      1  52        0         1
#> 180   14.82      1  37        0         0
#> 70     7.38      1  30        1         0
#> 6     15.64      1  39        0         0
#> 96.1  14.54      1  33        0         1
#> 29    15.45      1  68        1         0
#> 100   16.07      1  60        0         0
#> 164   23.60      1  76        0         1
#> 150.2 20.33      1  48        0         0
#> 36    21.19      1  48        0         1
#> 42    12.43      1  49        0         1
#> 18    15.21      1  49        1         0
#> 150.3 20.33      1  48        0         0
#> 113   22.86      1  34        0         0
#> 166.2 19.98      1  48        0         0
#> 86.1  23.81      1  58        0         1
#> 128.1 20.35      1  35        0         1
#> 57.1  14.46      1  45        0         1
#> 194   22.40      1  38        0         1
#> 69.1  23.23      1  25        0         1
#> 29.1  15.45      1  68        1         0
#> 36.1  21.19      1  48        0         1
#> 150.4 20.33      1  48        0         0
#> 49.1  12.19      1  48        1         0
#> 129.3 23.41      1  53        1         0
#> 41.3  18.02      1  40        1         0
#> 175.1 21.91      1  43        0         0
#> 63    22.77      1  31        1         0
#> 55    19.34      1  69        0         1
#> 101    9.97      1  10        0         1
#> 68.2  20.62      1  44        0         0
#> 136.1 21.83      1  43        0         1
#> 32.1  20.90      1  37        1         0
#> 91     5.33      1  61        0         1
#> 77     7.27      1  67        0         1
#> 51    18.23      1  83        0         1
#> 199   19.81      1  NA        0         1
#> 177.2 12.53      1  75        0         0
#> 86.2  23.81      1  58        0         1
#> 82    24.00      0  34        0         0
#> 200   24.00      0  64        0         0
#> 53    24.00      0  32        0         1
#> 35    24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 67    24.00      0  25        0         0
#> 83    24.00      0   6        0         0
#> 119   24.00      0  17        0         0
#> 112   24.00      0  61        0         0
#> 74    24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 109   24.00      0  48        0         0
#> 112.1 24.00      0  61        0         0
#> 173   24.00      0  19        0         1
#> 95    24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 62    24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 119.1 24.00      0  17        0         0
#> 172   24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 147   24.00      0  76        1         0
#> 62.1  24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 3     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 186   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 182   24.00      0  35        0         0
#> 22    24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 47    24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 174   24.00      0  49        1         0
#> 193   24.00      0  45        0         1
#> 112.2 24.00      0  61        0         0
#> 28.1  24.00      0  67        1         0
#> 151   24.00      0  42        0         0
#> 160   24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 2     24.00      0   9        0         0
#> 126   24.00      0  48        0         0
#> 119.2 24.00      0  17        0         0
#> 163   24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 95.1  24.00      0  68        0         1
#> 80    24.00      0  41        0         0
#> 172.1 24.00      0  41        0         0
#> 120   24.00      0  68        0         1
#> 196.1 24.00      0  19        0         0
#> 12    24.00      0  63        0         0
#> 74.1  24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 165   24.00      0  47        0         0
#> 156   24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 17    24.00      0  38        0         1
#> 12.1  24.00      0  63        0         0
#> 132.1 24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 143   24.00      0  51        0         0
#> 112.3 24.00      0  61        0         0
#> 142   24.00      0  53        0         0
#> 142.1 24.00      0  53        0         0
#> 196.2 24.00      0  19        0         0
#> 47.1  24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 162.1 24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 19.1  24.00      0  57        0         1
#> 163.1 24.00      0  66        0         0
#> 151.1 24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 151.2 24.00      0  42        0         0
#> 11    24.00      0  42        0         1
#> 53.1  24.00      0  32        0         1
#> 33.1  24.00      0  53        0         0
#> 54.1  24.00      0  53        1         0
#> 34.1  24.00      0  36        0         0
#> 98.1  24.00      0  34        1         0
#> 143.1 24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 84.1  24.00      0  39        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.33          NA        NA      NA
#> 2 age, Cure model           0.0173        NA        NA      NA
#> 3 grade_ii, Cure model      0.910         NA        NA      NA
#> 4 grade_iii, Cure model     1.29          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00277        NA        NA      NA
#> 2 grade_ii, Survival model   0.188          NA        NA      NA
#> 3 grade_iii, Survival model  0.152          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.32628           0.01729           0.91043           1.29170  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 246.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.32628361       0.01728725       0.91043232       1.29170448 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002773868      0.187969687      0.151831305 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.27866570 0.82351015 0.91702198 0.82351015 0.87057677 0.64254187
#>   [7] 0.63390276 0.49225233 0.35067033 0.48286961 0.34053797 0.66777026
#>  [13] 0.52008066 0.02350195 0.92470679 0.44541783 0.22272572 0.11774287
#>  [19] 0.23437333 0.80750987 0.52008066 0.88608624 0.61656147 0.27866570
#>  [25] 0.11774287 0.98514342 0.39932627 0.25681604 0.50156514 0.32036439
#>  [31] 0.98514342 0.93236275 0.94750845 0.11774287 0.90159498 0.55514452
#>  [37] 0.64254187 0.68471658 0.16317943 0.70978406 0.52008066 0.84707263
#>  [43] 0.77536608 0.44541783 0.94750845 0.39932627 0.57298432 0.81552655
#>  [49] 0.60782879 0.35067033 0.62525127 0.71813715 0.05709096 0.57298432
#>  [55] 0.93236275 0.79948842 0.79143944 0.37987992 0.68471658 0.84707263
#>  [61] 0.57298432 0.64254187 0.59905780 0.75918583 0.56408212 0.89385220
#>  [67] 0.75100384 0.96257647 0.70140240 0.75918583 0.72645063 0.67625303
#>  [73] 0.10133889 0.39932627 0.29975370 0.86273404 0.74281220 0.39932627
#>  [79] 0.18687230 0.44541783 0.05709096 0.37987992 0.77536608 0.21098100
#>  [85] 0.16317943 0.72645063 0.29975370 0.39932627 0.87057677 0.11774287
#>  [91] 0.52008066 0.23437333 0.19904153 0.47342226 0.90931492 0.35067033
#>  [97] 0.25681604 0.32036439 0.97764350 0.97012174 0.51086192 0.82351015
#> [103] 0.05709096 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   197   177   187 177.1    49     5    85    97    68    76   190   188    41 
#> 21.60 12.53  9.92 12.53 12.19 16.43 16.44 19.14 20.62 19.22 20.81 16.16 18.02 
#>    78   183   166    66   129   175    14  41.1   159   130 197.1 129.1   127 
#> 23.88  9.24 19.98 22.13 23.41 21.91 12.89 18.02 10.55 16.47 21.60 23.41  3.53 
#>   150   136     8    32 127.1    16   149 129.2    93    40   5.1    26    69 
#> 20.33 21.83 18.43 20.90  3.53  8.71  8.37 23.41 10.33 18.00 16.43 15.77 23.23 
#>    39  41.2    37    57 166.1 149.1 150.1    23   140   171  68.1   181   167 
#> 15.59 18.02 12.52 14.46 19.98  8.37 20.33 16.92 12.68 16.57 20.62 16.46 15.55 
#>    86  23.1  16.1    60    13   128  26.1  37.1  23.2   5.2   106    96   117 
#> 23.81 16.92  8.71 13.15 14.34 20.35 15.77 12.52 16.92 16.43 16.67 14.54 17.46 
#>    52   180    70     6  96.1    29   100   164 150.2    36    42    18 150.3 
#> 10.42 14.82  7.38 15.64 14.54 15.45 16.07 23.60 20.33 21.19 12.43 15.21 20.33 
#>   113 166.2  86.1 128.1  57.1   194  69.1  29.1  36.1 150.4  49.1 129.3  41.3 
#> 22.86 19.98 23.81 20.35 14.46 22.40 23.23 15.45 21.19 20.33 12.19 23.41 18.02 
#> 175.1    63    55   101  68.2 136.1  32.1    91    77    51 177.2  86.2    82 
#> 21.91 22.77 19.34  9.97 20.62 21.83 20.90  5.33  7.27 18.23 12.53 23.81 24.00 
#>   200    53    35    44    67    83   119   112    74    75   109 112.1   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    34    62   162   132 119.1   172   196   147  62.1    84     3    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186     1   182    22   152    47    28   174   193 112.2  28.1   151   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19     2   126 119.2   163    94  95.1    80 172.1   120 196.1    12  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   165   156    54    17  12.1 132.1   141 156.1    33   143 112.3   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1 196.2  47.1     7 162.1    48   148  19.1 163.1 151.1    87 151.2    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1  33.1  54.1  34.1  98.1 143.1  35.1   137  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[76]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001000104               0.443417316               0.269977774 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.71549195              0.01016543              0.33314660 
#>   grade_iii, Cure model 
#>              0.86032539 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 43    12.10      1  61        0         1
#> 41    18.02      1  40        1         0
#> 129   23.41      1  53        1         0
#> 184   17.77      1  38        0         0
#> 91     5.33      1  61        0         1
#> 23    16.92      1  61        0         0
#> 171   16.57      1  41        0         1
#> 189   10.51      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 88    18.37      1  47        0         0
#> 190   20.81      1  42        1         0
#> 5     16.43      1  51        0         1
#> 136   21.83      1  43        0         1
#> 14    12.89      1  21        0         0
#> 91.1   5.33      1  61        0         1
#> 155   13.08      1  26        0         0
#> 32    20.90      1  37        1         0
#> 13    14.34      1  54        0         1
#> 39    15.59      1  37        0         1
#> 108   18.29      1  39        0         1
#> 76    19.22      1  54        0         1
#> 164   23.60      1  76        0         1
#> 66    22.13      1  53        0         0
#> 145.1 10.07      1  65        1         0
#> 192   16.44      1  31        1         0
#> 18    15.21      1  49        1         0
#> 117   17.46      1  26        0         1
#> 101    9.97      1  10        0         1
#> 130   16.47      1  53        0         1
#> 55    19.34      1  69        0         1
#> 192.1 16.44      1  31        1         0
#> 154   12.63      1  20        1         0
#> 130.1 16.47      1  53        0         1
#> 4     17.64      1  NA        0         1
#> 85    16.44      1  36        0         0
#> 179   18.63      1  42        0         0
#> 155.1 13.08      1  26        0         0
#> 40    18.00      1  28        1         0
#> 105   19.75      1  60        0         0
#> 107   11.18      1  54        1         0
#> 43.1  12.10      1  61        0         1
#> 199   19.81      1  NA        0         1
#> 78    23.88      1  43        0         0
#> 150   20.33      1  48        0         0
#> 37    12.52      1  57        1         0
#> 24    23.89      1  38        0         0
#> 128   20.35      1  35        0         1
#> 49    12.19      1  48        1         0
#> 49.1  12.19      1  48        1         0
#> 4.1   17.64      1  NA        0         1
#> 30    17.43      1  78        0         0
#> 93    10.33      1  52        0         1
#> 52    10.42      1  52        0         1
#> 13.1  14.34      1  54        0         1
#> 177   12.53      1  75        0         0
#> 169   22.41      1  46        0         0
#> 169.1 22.41      1  46        0         0
#> 111   17.45      1  47        0         1
#> 136.1 21.83      1  43        0         1
#> 51    18.23      1  83        0         1
#> 70     7.38      1  30        1         0
#> 86    23.81      1  58        0         1
#> 79    16.23      1  54        1         0
#> 76.1  19.22      1  54        0         1
#> 29    15.45      1  68        1         0
#> 36    21.19      1  48        0         1
#> 124    9.73      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 41.1  18.02      1  40        1         0
#> 181   16.46      1  45        0         1
#> 40.1  18.00      1  28        1         0
#> 29.1  15.45      1  68        1         0
#> 26    15.77      1  49        0         1
#> 14.1  12.89      1  21        0         0
#> 50    10.02      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 56    12.21      1  60        0         0
#> 93.1  10.33      1  52        0         1
#> 52.1  10.42      1  52        0         1
#> 134   17.81      1  47        1         0
#> 60    13.15      1  38        1         0
#> 199.1 19.81      1  NA        0         1
#> 180.1 14.82      1  37        0         0
#> 153   21.33      1  55        1         0
#> 59.1  10.16      1  NA        1         0
#> 59.2  10.16      1  NA        1         0
#> 30.1  17.43      1  78        0         0
#> 195   11.76      1  NA        1         0
#> 145.2 10.07      1  65        1         0
#> 25     6.32      1  34        1         0
#> 66.1  22.13      1  53        0         0
#> 167   15.55      1  56        1         0
#> 153.1 21.33      1  55        1         0
#> 157   15.10      1  47        0         0
#> 96    14.54      1  33        0         1
#> 153.2 21.33      1  55        1         0
#> 36.1  21.19      1  48        0         1
#> 37.1  12.52      1  57        1         0
#> 99    21.19      1  38        0         1
#> 136.2 21.83      1  43        0         1
#> 90    20.94      1  50        0         1
#> 129.1 23.41      1  53        1         0
#> 188   16.16      1  46        0         1
#> 127    3.53      1  62        0         1
#> 194   22.40      1  38        0         1
#> 184.1 17.77      1  38        0         0
#> 159   10.55      1  50        0         1
#> 79.2  16.23      1  54        1         0
#> 181.1 16.46      1  45        0         1
#> 184.2 17.77      1  38        0         0
#> 177.1 12.53      1  75        0         0
#> 72    24.00      0  40        0         1
#> 200   24.00      0  64        0         0
#> 33    24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 31.1  24.00      0  36        0         1
#> 7     24.00      0  37        1         0
#> 80    24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 73    24.00      0  NA        0         1
#> 53    24.00      0  32        0         1
#> 160   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 160.1 24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 141   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 12    24.00      0  63        0         0
#> 46    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 193   24.00      0  45        0         1
#> 132   24.00      0  55        0         0
#> 72.1  24.00      0  40        0         1
#> 148   24.00      0  61        1         0
#> 7.1   24.00      0  37        1         0
#> 131   24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 102   24.00      0  49        0         0
#> 152   24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 103.1 24.00      0  56        1         0
#> 44    24.00      0  56        0         0
#> 95.1  24.00      0  68        0         1
#> 103.2 24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 126   24.00      0  48        0         0
#> 163.1 24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 12.1  24.00      0  63        0         0
#> 147.1 24.00      0  76        1         0
#> 19.1  24.00      0  57        0         1
#> 33.1  24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 53.1  24.00      0  32        0         1
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 11    24.00      0  42        0         1
#> 182.1 24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 173.1 24.00      0  19        0         1
#> 141.2 24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 84    24.00      0  39        0         1
#> 83    24.00      0   6        0         0
#> 152.1 24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 12.2  24.00      0  63        0         0
#> 191   24.00      0  60        0         1
#> 132.1 24.00      0  55        0         0
#> 65.1  24.00      0  57        1         0
#> 65.2  24.00      0  57        1         0
#> 67.1  24.00      0  25        0         0
#> 64    24.00      0  43        0         0
#> 11.1  24.00      0  42        0         1
#> 141.3 24.00      0  44        1         0
#> 75.2  24.00      0  21        1         0
#> 38.1  24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 121   24.00      0  57        1         0
#> 21.1  24.00      0  47        0         0
#> 7.2   24.00      0  37        1         0
#> 135   24.00      0  58        1         0
#> 83.1  24.00      0   6        0         0
#> 163.2 24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 64.1  24.00      0  43        0         0
#> 73.1  24.00      0  NA        0         1
#> 174   24.00      0  49        1         0
#> 120   24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.715         NA        NA      NA
#> 2 age, Cure model           0.0102        NA        NA      NA
#> 3 grade_ii, Cure model      0.333         NA        NA      NA
#> 4 grade_iii, Cure model     0.860         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00100        NA        NA      NA
#> 2 grade_ii, Survival model   0.443          NA        NA      NA
#> 3 grade_iii, Survival model  0.270          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.71549           0.01017           0.33315           0.86033  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 251.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.71549195       0.01016543       0.33314660       0.86032539 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001000104      0.443417316      0.269977774 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.86298378 0.40869678 0.08240598 0.45688440 0.97630028 0.52278483
#>   [7] 0.53228286 0.92840187 0.37811645 0.29545298 0.60577005 0.17378808
#>  [13] 0.77914411 0.97630028 0.76223502 0.28474462 0.73674431 0.65897931
#>  [19] 0.38837424 0.34768957 0.06555348 0.14788968 0.92840187 0.57876024
#>  [25] 0.69378294 0.48500729 0.95233041 0.54173749 0.33730043 0.57876024
#>  [31] 0.79606085 0.54173749 0.57876024 0.36787144 0.76223502 0.42823939
#>  [37] 0.32683959 0.87945022 0.86298378 0.02837239 0.31639825 0.82136595
#>  [43] 0.01004105 0.30597306 0.84644402 0.84644402 0.50398136 0.91218715
#>  [49] 0.89590194 0.73674431 0.80451702 0.10827340 0.10827340 0.49451706
#>  [55] 0.17378808 0.39856213 0.96035422 0.04775495 0.61487691 0.34768957
#>  [61] 0.67656626 0.24207734 0.71100867 0.40869678 0.56032597 0.42823939
#>  [67] 0.67656626 0.65012736 0.77914411 0.61487691 0.83805343 0.91218715
#>  [73] 0.89590194 0.44733347 0.75373793 0.71100867 0.20924380 0.50398136
#>  [79] 0.92840187 0.96834386 0.14788968 0.66780018 0.20924380 0.70239338
#>  [85] 0.72814988 0.20924380 0.24207734 0.82136595 0.24207734 0.17378808
#>  [91] 0.27383053 0.08240598 0.64124551 0.99208873 0.13445136 0.45688440
#>  [97] 0.88768546 0.61487691 0.56032597 0.45688440 0.80451702 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    43    41   129   184    91    23   171   145    88   190     5   136    14 
#> 12.10 18.02 23.41 17.77  5.33 16.92 16.57 10.07 18.37 20.81 16.43 21.83 12.89 
#>  91.1   155    32    13    39   108    76   164    66 145.1   192    18   117 
#>  5.33 13.08 20.90 14.34 15.59 18.29 19.22 23.60 22.13 10.07 16.44 15.21 17.46 
#>   101   130    55 192.1   154 130.1    85   179 155.1    40   105   107  43.1 
#>  9.97 16.47 19.34 16.44 12.63 16.47 16.44 18.63 13.08 18.00 19.75 11.18 12.10 
#>    78   150    37    24   128    49  49.1    30    93    52  13.1   177   169 
#> 23.88 20.33 12.52 23.89 20.35 12.19 12.19 17.43 10.33 10.42 14.34 12.53 22.41 
#> 169.1   111 136.1    51    70    86    79  76.1    29    36   180  41.1   181 
#> 22.41 17.45 21.83 18.23  7.38 23.81 16.23 19.22 15.45 21.19 14.82 18.02 16.46 
#>  40.1  29.1    26  14.1  79.1    56  93.1  52.1   134    60 180.1   153  30.1 
#> 18.00 15.45 15.77 12.89 16.23 12.21 10.33 10.42 17.81 13.15 14.82 21.33 17.43 
#> 145.2    25  66.1   167 153.1   157    96 153.2  36.1  37.1    99 136.2    90 
#> 10.07  6.32 22.13 15.55 21.33 15.10 14.54 21.33 21.19 12.52 21.19 21.83 20.94 
#> 129.1   188   127   194 184.1   159  79.2 181.1 184.2 177.1    72   200    33 
#> 23.41 16.16  3.53 22.40 17.77 10.55 16.23 16.46 17.77 12.53 24.00 24.00 24.00 
#>    62    31    94    75   103  31.1     7    80    95    19    53   160   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1   144   141   163   182    12    46   173   193   132  72.1   148   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131 141.1    28   102   152     2 103.1    44  95.1 103.2    82   126 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109  12.1 147.1  19.1  33.1   162  53.1   122    21    11 182.1   138 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2    38  75.1    84    83 152.1    65     9    67  12.2   191 132.1  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.2  67.1    64  11.1 141.3  75.2  38.1   151   121  21.1   7.2   135  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.2    22  64.1   174   120 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[77]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008032438               0.318240597               0.165574989 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.15229972              0.01122129             -0.86564449 
#>   grade_iii, Cure model 
#>              0.47886481 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 40    18.00      1  28        1         0
#> 57    14.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 157   15.10      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 81    14.06      1  34        0         0
#> 113   22.86      1  34        0         0
#> 170   19.54      1  43        0         1
#> 180   14.82      1  37        0         0
#> 81.1  14.06      1  34        0         0
#> 81.2  14.06      1  34        0         0
#> 68    20.62      1  44        0         0
#> 57.1  14.46      1  45        0         1
#> 37    12.52      1  57        1         0
#> 90    20.94      1  50        0         1
#> 123   13.00      1  44        1         0
#> 13    14.34      1  54        0         1
#> 6     15.64      1  39        0         0
#> 184   17.77      1  38        0         0
#> 14    12.89      1  21        0         0
#> 81.3  14.06      1  34        0         0
#> 187    9.92      1  39        1         0
#> 6.1   15.64      1  39        0         0
#> 127    3.53      1  62        0         1
#> 10    10.53      1  34        0         0
#> 190   20.81      1  42        1         0
#> 42    12.43      1  49        0         1
#> 85    16.44      1  36        0         0
#> 89    11.44      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 175   21.91      1  43        0         0
#> 159   10.55      1  50        0         1
#> 76    19.22      1  54        0         1
#> 92    22.92      1  47        0         1
#> 107   11.18      1  54        1         0
#> 175.1 21.91      1  43        0         0
#> 125.1 15.65      1  67        1         0
#> 169   22.41      1  46        0         0
#> 41    18.02      1  40        1         0
#> 4     17.64      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 37.1  12.52      1  57        1         0
#> 52    10.42      1  52        0         1
#> 177   12.53      1  75        0         0
#> 23    16.92      1  61        0         0
#> 180.1 14.82      1  37        0         0
#> 30.1  17.43      1  78        0         0
#> 145   10.07      1  65        1         0
#> 169.1 22.41      1  46        0         0
#> 81.4  14.06      1  34        0         0
#> 170.1 19.54      1  43        0         1
#> 97.1  19.14      1  65        0         1
#> 164   23.60      1  76        0         1
#> 107.1 11.18      1  54        1         0
#> 90.1  20.94      1  50        0         1
#> 61    10.12      1  36        0         1
#> 37.2  12.52      1  57        1         0
#> 10.1  10.53      1  34        0         0
#> 10.2  10.53      1  34        0         0
#> 45    17.42      1  54        0         1
#> 105   19.75      1  60        0         0
#> 188   16.16      1  46        0         1
#> 23.1  16.92      1  61        0         0
#> 117   17.46      1  26        0         1
#> 66    22.13      1  53        0         0
#> 127.1  3.53      1  62        0         1
#> 167   15.55      1  56        1         0
#> 181   16.46      1  45        0         1
#> 14.1  12.89      1  21        0         0
#> 5     16.43      1  51        0         1
#> 66.1  22.13      1  53        0         0
#> 129   23.41      1  53        1         0
#> 179   18.63      1  42        0         0
#> 16     8.71      1  71        0         1
#> 168   23.72      1  70        0         0
#> 159.1 10.55      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 168.1 23.72      1  70        0         0
#> 199   19.81      1  NA        0         1
#> 175.2 21.91      1  43        0         0
#> 91     5.33      1  61        0         1
#> 134   17.81      1  47        1         0
#> 184.1 17.77      1  38        0         0
#> 180.2 14.82      1  37        0         0
#> 23.2  16.92      1  61        0         0
#> 170.2 19.54      1  43        0         1
#> 113.1 22.86      1  34        0         0
#> 180.3 14.82      1  37        0         0
#> 85.1  16.44      1  36        0         0
#> 85.2  16.44      1  36        0         0
#> 166   19.98      1  48        0         0
#> 58    19.34      1  39        0         0
#> 49    12.19      1  48        1         0
#> 127.2  3.53      1  62        0         1
#> 63    22.77      1  31        1         0
#> 124.1  9.73      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 26    15.77      1  49        0         1
#> 194   22.40      1  38        0         1
#> 105.1 19.75      1  60        0         0
#> 153   21.33      1  55        1         0
#> 40.1  18.00      1  28        1         0
#> 155   13.08      1  26        0         0
#> 59.1  10.16      1  NA        1         0
#> 57.2  14.46      1  45        0         1
#> 194.1 22.40      1  38        0         1
#> 158   20.14      1  74        1         0
#> 55    19.34      1  69        0         1
#> 45.1  17.42      1  54        0         1
#> 88    18.37      1  47        0         0
#> 60    13.15      1  38        1         0
#> 47    24.00      0  38        0         1
#> 80    24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 65    24.00      0  57        1         0
#> 75    24.00      0  21        1         0
#> 118   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 141   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 118.1 24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 11    24.00      0  42        0         1
#> 104   24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 34    24.00      0  36        0         0
#> 144   24.00      0  28        0         1
#> 172   24.00      0  41        0         0
#> 46    24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 126   24.00      0  48        0         0
#> 196   24.00      0  19        0         0
#> 120   24.00      0  68        0         1
#> 144.1 24.00      0  28        0         1
#> 143.1 24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 1     24.00      0  23        1         0
#> 116   24.00      0  58        0         1
#> 178.1 24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 48    24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 2     24.00      0   9        0         0
#> 21    24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 98    24.00      0  34        1         0
#> 165   24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 11.1  24.00      0  42        0         1
#> 137   24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 200.1 24.00      0  64        0         0
#> 131   24.00      0  66        0         0
#> 178.2 24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 27    24.00      0  63        1         0
#> 131.1 24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 44.1  24.00      0  56        0         0
#> 151.1 24.00      0  42        0         0
#> 87.1  24.00      0  27        0         0
#> 112   24.00      0  61        0         0
#> 1.1   24.00      0  23        1         0
#> 19.1  24.00      0  57        0         1
#> 65.1  24.00      0  57        1         0
#> 95    24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 156   24.00      0  50        1         0
#> 98.1  24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 142.1 24.00      0  53        0         0
#> 12.1  24.00      0  63        0         0
#> 135   24.00      0  58        1         0
#> 191   24.00      0  60        0         1
#> 27.1  24.00      0  63        1         0
#> 73    24.00      0  NA        0         1
#> 156.1 24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 115.1 24.00      0  NA        1         0
#> 146   24.00      0  63        1         0
#> 141.2 24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 22.1  24.00      0  52        1         0
#> 165.1 24.00      0  47        0         0
#> 47.1  24.00      0  38        0         1
#> 119   24.00      0  17        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.152         NA        NA      NA
#> 2 age, Cure model           0.0112        NA        NA      NA
#> 3 grade_ii, Cure model     -0.866         NA        NA      NA
#> 4 grade_iii, Cure model     0.479         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00803        NA        NA      NA
#> 2 grade_ii, Survival model   0.318          NA        NA      NA
#> 3 grade_iii, Survival model  0.166          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.15230           0.01122          -0.86564           0.47886  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.7 
#> Residual Deviance: 246.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.15229972       0.01122129      -0.86564449       0.47886481 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008032438      0.318240597      0.165574989 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.283253237 0.585907262 0.479403158 0.532300932 0.339119686 0.629786331
#>   [7] 0.028791488 0.177375417 0.543106535 0.629786331 0.629786331 0.136701728
#>  [13] 0.585907262 0.753157713 0.113819062 0.707491987 0.618632575 0.500364044
#>  [19] 0.310943919 0.718892297 0.629786331 0.928043907 0.500364044 0.963990540
#>  [25] 0.857224278 0.128911586 0.787436333 0.417652506 0.237137678 0.085195985
#>  [31] 0.833898679 0.219491579 0.023000643 0.810709495 0.085195985 0.479403158
#>  [37] 0.046372239 0.273862592 0.017480975 0.753157713 0.892313659 0.741623198
#>  [43] 0.377783381 0.543106535 0.339119686 0.916108683 0.046372239 0.629786331
#>  [49] 0.177375417 0.237137678 0.006863682 0.810709495 0.113819062 0.904202070
#>  [55] 0.753157713 0.857224278 0.857224278 0.358328776 0.160825864 0.458439329
#>  [61] 0.377783381 0.329629187 0.071569024 0.963990540 0.521563871 0.407463548
#>  [67] 0.718892297 0.448025138 0.071569024 0.012034940 0.255187019 0.939978368
#>  [73] 0.001187193 0.833898679 0.001187193 0.085195985 0.951963478 0.301606590
#>  [79] 0.310943919 0.543106535 0.377783381 0.177375417 0.028791488 0.543106535
#>  [85] 0.417652506 0.417652506 0.152657361 0.202173548 0.799067396 0.963990540
#>  [91] 0.040237322 0.219491579 0.468897353 0.058790165 0.160825864 0.106225231
#>  [97] 0.283253237 0.696098029 0.585907262 0.058790165 0.144626408 0.202173548
#> [103] 0.358328776 0.264472961 0.684739117 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    40    57   125   157    30    81   113   170   180  81.1  81.2    68  57.1 
#> 18.00 14.46 15.65 15.10 17.43 14.06 22.86 19.54 14.82 14.06 14.06 20.62 14.46 
#>    37    90   123    13     6   184    14  81.3   187   6.1   127    10   190 
#> 12.52 20.94 13.00 14.34 15.64 17.77 12.89 14.06  9.92 15.64  3.53 10.53 20.81 
#>    42    85    97   175   159    76    92   107 175.1 125.1   169    41    69 
#> 12.43 16.44 19.14 21.91 10.55 19.22 22.92 11.18 21.91 15.65 22.41 18.02 23.23 
#>  37.1    52   177    23 180.1  30.1   145 169.1  81.4 170.1  97.1   164 107.1 
#> 12.52 10.42 12.53 16.92 14.82 17.43 10.07 22.41 14.06 19.54 19.14 23.60 11.18 
#>  90.1    61  37.2  10.1  10.2    45   105   188  23.1   117    66 127.1   167 
#> 20.94 10.12 12.52 10.53 10.53 17.42 19.75 16.16 16.92 17.46 22.13  3.53 15.55 
#>   181  14.1     5  66.1   129   179    16   168 159.1 168.1 175.2    91   134 
#> 16.46 12.89 16.43 22.13 23.41 18.63  8.71 23.72 10.55 23.72 21.91  5.33 17.81 
#> 184.1 180.2  23.2 170.2 113.1 180.3  85.1  85.2   166    58    49 127.2    63 
#> 17.77 14.82 16.92 19.54 22.86 14.82 16.44 16.44 19.98 19.34 12.19  3.53 22.77 
#>  76.1    26   194 105.1   153  40.1   155  57.2 194.1   158    55  45.1    88 
#> 19.22 15.77 22.40 19.75 21.33 18.00 13.08 14.46 22.40 20.14 19.34 17.42 18.37 
#>    60    47    80    19    65    75   118   142   151   141    44 118.1    22 
#> 13.15 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    11   104   193    34   144   172    46   143     9 141.1   103   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   120 144.1 143.1   162   178   185    82     1   116 178.1    87    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132     2    21   200    98   165    12  11.1   137    54 200.1   131 178.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    67    27 131.1   138  48.1   161  44.1 151.1  87.1   112   1.1  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1    95   156  98.1   174 142.1  12.1   135   191  27.1 156.1     3  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   146 141.2  22.1 165.1  47.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[78]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005293795               0.756553375               0.642741060 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.84854736              0.01171423              0.27649529 
#>   grade_iii, Cure model 
#>              1.56211066 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 136   21.83      1  43        0         1
#> 133   14.65      1  57        0         0
#> 188   16.16      1  46        0         1
#> 85    16.44      1  36        0         0
#> 169   22.41      1  46        0         0
#> 76    19.22      1  54        0         1
#> 177   12.53      1  75        0         0
#> 70     7.38      1  30        1         0
#> 37    12.52      1  57        1         0
#> 39    15.59      1  37        0         1
#> 42    12.43      1  49        0         1
#> 139   21.49      1  63        1         0
#> 93    10.33      1  52        0         1
#> 57    14.46      1  45        0         1
#> 159   10.55      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 70.1   7.38      1  30        1         0
#> 42.1  12.43      1  49        0         1
#> 180   14.82      1  37        0         0
#> 37.1  12.52      1  57        1         0
#> 24    23.89      1  38        0         0
#> 45    17.42      1  54        0         1
#> 42.2  12.43      1  49        0         1
#> 168   23.72      1  70        0         0
#> 183    9.24      1  67        1         0
#> 25     6.32      1  34        1         0
#> 29    15.45      1  68        1         0
#> 40    18.00      1  28        1         0
#> 133.1 14.65      1  57        0         0
#> 140   12.68      1  59        1         0
#> 180.1 14.82      1  37        0         0
#> 37.2  12.52      1  57        1         0
#> 183.1  9.24      1  67        1         0
#> 76.1  19.22      1  54        0         1
#> 190   20.81      1  42        1         0
#> 128   20.35      1  35        0         1
#> 188.1 16.16      1  46        0         1
#> 29.1  15.45      1  68        1         0
#> 76.2  19.22      1  54        0         1
#> 15    22.68      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 105   19.75      1  60        0         0
#> 113   22.86      1  34        0         0
#> 23    16.92      1  61        0         0
#> 29.2  15.45      1  68        1         0
#> 49.1  12.19      1  48        1         0
#> 155   13.08      1  26        0         0
#> 177.1 12.53      1  75        0         0
#> 91     5.33      1  61        0         1
#> 114   13.68      1  NA        0         0
#> 194   22.40      1  38        0         1
#> 114.1 13.68      1  NA        0         0
#> 58    19.34      1  39        0         0
#> 93.1  10.33      1  52        0         1
#> 128.1 20.35      1  35        0         1
#> 32    20.90      1  37        1         0
#> 58.1  19.34      1  39        0         0
#> 154   12.63      1  20        1         0
#> 168.1 23.72      1  70        0         0
#> 150   20.33      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 194.1 22.40      1  38        0         1
#> 91.1   5.33      1  61        0         1
#> 154.1 12.63      1  20        1         0
#> 18    15.21      1  49        1         0
#> 125   15.65      1  67        1         0
#> 170   19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 18.1  15.21      1  49        1         0
#> 129   23.41      1  53        1         0
#> 140.1 12.68      1  59        1         0
#> 49.2  12.19      1  48        1         0
#> 145   10.07      1  65        1         0
#> 127    3.53      1  62        0         1
#> 89.1  11.44      1  NA        0         0
#> 179   18.63      1  42        0         0
#> 41    18.02      1  40        1         0
#> 76.3  19.22      1  54        0         1
#> 127.1  3.53      1  62        0         1
#> 30    17.43      1  78        0         0
#> 128.2 20.35      1  35        0         1
#> 199   19.81      1  NA        0         1
#> 24.1  23.89      1  38        0         0
#> 114.2 13.68      1  NA        0         0
#> 85.1  16.44      1  36        0         0
#> 42.3  12.43      1  49        0         1
#> 197   21.60      1  69        1         0
#> 50    10.02      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 100   16.07      1  60        0         0
#> 63    22.77      1  31        1         0
#> 117   17.46      1  26        0         1
#> 59.1  10.16      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 41.1  18.02      1  40        1         0
#> 79    16.23      1  54        1         0
#> 88    18.37      1  47        0         0
#> 192   16.44      1  31        1         0
#> 16     8.71      1  71        0         1
#> 68    20.62      1  44        0         0
#> 194.2 22.40      1  38        0         1
#> 81.1  14.06      1  34        0         0
#> 50.1  10.02      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 5     16.43      1  51        0         1
#> 164   23.60      1  76        0         1
#> 127.2  3.53      1  62        0         1
#> 101    9.97      1  10        0         1
#> 190.1 20.81      1  42        1         0
#> 52    10.42      1  52        0         1
#> 8     18.43      1  32        0         0
#> 137   24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 148   24.00      0  61        1         0
#> 104   24.00      0  50        1         0
#> 185   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 12    24.00      0  63        0         0
#> 27    24.00      0  63        1         0
#> 172   24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 1.1   24.00      0  23        1         0
#> 98    24.00      0  34        1         0
#> 116   24.00      0  58        0         1
#> 82    24.00      0  34        0         0
#> 67    24.00      0  25        0         0
#> 132.1 24.00      0  55        0         0
#> 109   24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 12.1  24.00      0  63        0         0
#> 82.1  24.00      0  34        0         0
#> 172.1 24.00      0  41        0         0
#> 146   24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 67.1  24.00      0  25        0         0
#> 121   24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 182   24.00      0  35        0         0
#> 98.1  24.00      0  34        1         0
#> 67.2  24.00      0  25        0         0
#> 135   24.00      0  58        1         0
#> 35    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 28    24.00      0  67        1         0
#> 163   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 83.1  24.00      0   6        0         0
#> 116.1 24.00      0  58        0         1
#> 144   24.00      0  28        0         1
#> 135.1 24.00      0  58        1         0
#> 19.1  24.00      0  57        0         1
#> 186.1 24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 178   24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 138   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 142   24.00      0  53        0         0
#> 142.1 24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 7     24.00      0  37        1         0
#> 143   24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 163.1 24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 54.1  24.00      0  53        1         0
#> 151.1 24.00      0  42        0         0
#> 160   24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 162   24.00      0  51        0         0
#> 142.2 24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 196   24.00      0  19        0         0
#> 161   24.00      0  45        0         0
#> 148.1 24.00      0  61        1         0
#> 21    24.00      0  47        0         0
#> 121.1 24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 83.2  24.00      0   6        0         0
#> 67.3  24.00      0  25        0         0
#> 103.1 24.00      0  56        1         0
#> 98.2  24.00      0  34        1         0
#> 132.2 24.00      0  55        0         0
#> 34    24.00      0  36        0         0
#> 163.2 24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 33.1  24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 28.1  24.00      0  67        1         0
#> 186.2 24.00      0  45        1         0
#> 104.1 24.00      0  50        1         0
#> 126   24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.849         NA        NA      NA
#> 2 age, Cure model           0.0117        NA        NA      NA
#> 3 grade_ii, Cure model      0.276         NA        NA      NA
#> 4 grade_iii, Cure model     1.56          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00529        NA        NA      NA
#> 2 grade_ii, Survival model   0.757          NA        NA      NA
#> 3 grade_iii, Survival model  0.643          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.84855           0.01171           0.27650           1.56211  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 241.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.84854736       0.01171423       0.27649529       1.56211066 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005293795      0.756553375      0.642741060 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.40079091 0.79609792 0.71882254 0.68271287 0.32506410 0.56169310
#>   [7] 0.85529252 0.96352018 0.86664226 0.74617979 0.88300813 0.42790184
#>  [13] 0.92947727 0.80823133 0.91932920 0.90400397 0.96352018 0.88300813
#>  [19] 0.78389903 0.86664226 0.06086729 0.66768677 0.88300813 0.13789244
#>  [25] 0.94920738 0.97286094 0.75284815 0.64450242 0.79609792 0.83222960
#>  [31] 0.78389903 0.86664226 0.94920738 0.56169310 0.45207604 0.48437686
#>  [37] 0.71882254 0.75284815 0.56169310 0.30670611 0.52349600 0.24809568
#>  [43] 0.67521575 0.75284815 0.90400397 0.82622841 0.85529252 0.97750790
#>  [49] 0.34314095 0.54287636 0.92947727 0.48437686 0.44025293 0.54287636
#>  [55] 0.84386890 0.13789244 0.51361444 0.34314095 0.97750790 0.84386890
#>  [61] 0.77165892 0.73943224 0.53330833 0.81425682 0.77165892 0.22655028
#>  [67] 0.83222960 0.90400397 0.93939421 0.98663886 0.60369198 0.62868439
#>  [73] 0.56169310 0.98663886 0.66002554 0.48437686 0.06086729 0.68271287
#>  [79] 0.88300813 0.41480438 0.24809568 0.73255682 0.28802507 0.65231857
#>  [85] 0.38606292 0.62868439 0.71172805 0.62038159 0.68271287 0.95876927
#>  [91] 0.47357010 0.34314095 0.81425682 0.59530778 0.70450131 0.20049963
#>  [97] 0.98663886 0.94431361 0.45207604 0.92442418 0.61204728 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   136   133   188    85   169    76   177    70    37    39    42   139    93 
#> 21.83 14.65 16.16 16.44 22.41 19.22 12.53  7.38 12.52 15.59 12.43 21.49 10.33 
#>    57   159    49  70.1  42.1   180  37.1    24    45  42.2   168   183    25 
#> 14.46 10.55 12.19  7.38 12.43 14.82 12.52 23.89 17.42 12.43 23.72  9.24  6.32 
#>    29    40 133.1   140 180.1  37.2 183.1  76.1   190   128 188.1  29.1  76.2 
#> 15.45 18.00 14.65 12.68 14.82 12.52  9.24 19.22 20.81 20.35 16.16 15.45 19.22 
#>    15   105   113    23  29.2  49.1   155 177.1    91   194    58  93.1 128.1 
#> 22.68 19.75 22.86 16.92 15.45 12.19 13.08 12.53  5.33 22.40 19.34 10.33 20.35 
#>    32  58.1   154 168.1   150 194.1  91.1 154.1    18   125   170    81  18.1 
#> 20.90 19.34 12.63 23.72 20.33 22.40  5.33 12.63 15.21 15.65 19.54 14.06 15.21 
#>   129 140.1  49.2   145   127   179    41  76.3 127.1    30 128.2  24.1  85.1 
#> 23.41 12.68 12.19 10.07  3.53 18.63 18.02 19.22  3.53 17.43 20.35 23.89 16.44 
#>  42.3   197 113.1   100    63   117   175  41.1    79    88   192    16    68 
#> 12.43 21.60 22.86 16.07 22.77 17.46 21.91 18.02 16.23 18.37 16.44  8.71 20.62 
#> 194.2  81.1    97     5   164 127.2   101 190.1    52     8   137   193     1 
#> 22.40 14.06 19.14 16.43 23.60  3.53  9.97 20.81 10.42 18.43 24.00 24.00 24.00 
#>   148   104   185     2    12    27   172    22    71   122   132   1.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    82    67 132.1   109    19     9   174  12.1  82.1 172.1   146    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1   121    83   182  98.1  67.2   135    35   151    87    28   163   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.1 116.1   144 135.1  19.1 186.1    64   178   102   138    33   142 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103     7   143    74 163.1    65  54.1 151.1   160    84   162 142.2   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   161 148.1    21 121.1    72  83.2  67.3 103.1  98.2 132.2    34 163.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95  33.1  28.1 186.2 104.1   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[79]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005585743               0.975905746               0.070226123 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.539369110             0.004387182             0.062553507 
#>   grade_iii, Cure model 
#>             1.484562479 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 61    10.12      1  36        0         1
#> 52    10.42      1  52        0         1
#> 60    13.15      1  38        1         0
#> 45    17.42      1  54        0         1
#> 90    20.94      1  50        0         1
#> 145   10.07      1  65        1         0
#> 171   16.57      1  41        0         1
#> 170   19.54      1  43        0         1
#> 145.1 10.07      1  65        1         0
#> 177   12.53      1  75        0         0
#> 170.1 19.54      1  43        0         1
#> 93    10.33      1  52        0         1
#> 13.1  14.34      1  54        0         1
#> 68    20.62      1  44        0         0
#> 159   10.55      1  50        0         1
#> 51    18.23      1  83        0         1
#> 23    16.92      1  61        0         0
#> 69    23.23      1  25        0         1
#> 127    3.53      1  62        0         1
#> 86    23.81      1  58        0         1
#> 168   23.72      1  70        0         0
#> 45.1  17.42      1  54        0         1
#> 79    16.23      1  54        1         0
#> 194   22.40      1  38        0         1
#> 128   20.35      1  35        0         1
#> 170.2 19.54      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 181   16.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 110   17.56      1  65        0         1
#> 86.1  23.81      1  58        0         1
#> 77     7.27      1  67        0         1
#> 154   12.63      1  20        1         0
#> 106   16.67      1  49        1         0
#> 169   22.41      1  46        0         0
#> 188   16.16      1  46        0         1
#> 25     6.32      1  34        1         0
#> 90.1  20.94      1  50        0         1
#> 70     7.38      1  30        1         0
#> 99    21.19      1  38        0         1
#> 58    19.34      1  39        0         0
#> 89    11.44      1  NA        0         0
#> 43    12.10      1  61        0         1
#> 70.1   7.38      1  30        1         0
#> 51.1  18.23      1  83        0         1
#> 10.1  10.53      1  34        0         0
#> 86.2  23.81      1  58        0         1
#> 108   18.29      1  39        0         1
#> 175   21.91      1  43        0         0
#> 107   11.18      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 26    15.77      1  49        0         1
#> 195   11.76      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 81    14.06      1  34        0         0
#> 194.1 22.40      1  38        0         1
#> 184   17.77      1  38        0         0
#> 175.1 21.91      1  43        0         0
#> 195.1 11.76      1  NA        1         0
#> 81.1  14.06      1  34        0         0
#> 194.2 22.40      1  38        0         1
#> 6     15.64      1  39        0         0
#> 10.2  10.53      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 175.2 21.91      1  43        0         0
#> 45.2  17.42      1  54        0         1
#> 105   19.75      1  60        0         0
#> 52.1  10.42      1  52        0         1
#> 155   13.08      1  26        0         0
#> 4     17.64      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 145.2 10.07      1  65        1         0
#> 195.2 11.76      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 168.1 23.72      1  70        0         0
#> 99.1  21.19      1  38        0         1
#> 61.1  10.12      1  36        0         1
#> 184.1 17.77      1  38        0         0
#> 108.1 18.29      1  39        0         1
#> 79.1  16.23      1  54        1         0
#> 168.2 23.72      1  70        0         0
#> 145.3 10.07      1  65        1         0
#> 63    22.77      1  31        1         0
#> 23.1  16.92      1  61        0         0
#> 177.1 12.53      1  75        0         0
#> 70.2   7.38      1  30        1         0
#> 130   16.47      1  53        0         1
#> 49.1  12.19      1  48        1         0
#> 42    12.43      1  49        0         1
#> 89.1  11.44      1  NA        0         0
#> 170.3 19.54      1  43        0         1
#> 90.2  20.94      1  50        0         1
#> 111   17.45      1  47        0         1
#> 61.2  10.12      1  36        0         1
#> 13.2  14.34      1  54        0         1
#> 139   21.49      1  63        1         0
#> 26.1  15.77      1  49        0         1
#> 128.1 20.35      1  35        0         1
#> 4.1   17.64      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 188.1 16.16      1  46        0         1
#> 127.1  3.53      1  62        0         1
#> 149    8.37      1  33        1         0
#> 170.4 19.54      1  43        0         1
#> 187    9.92      1  39        1         0
#> 195.3 11.76      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 134   17.81      1  47        1         0
#> 181.1 16.46      1  45        0         1
#> 160   24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 120   24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 48    24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 82    24.00      0  34        0         0
#> 64    24.00      0  43        0         0
#> 196   24.00      0  19        0         0
#> 72    24.00      0  40        0         1
#> 28    24.00      0  67        1         0
#> 73.1  24.00      0  NA        0         1
#> 21    24.00      0  47        0         0
#> 17    24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 115   24.00      0  NA        1         0
#> 22    24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 75    24.00      0  21        1         0
#> 20    24.00      0  46        1         0
#> 178   24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 160.1 24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 94    24.00      0  51        0         1
#> 104   24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 2     24.00      0   9        0         0
#> 182   24.00      0  35        0         0
#> 120.1 24.00      0  68        0         1
#> 115.1 24.00      0  NA        1         0
#> 161   24.00      0  45        0         0
#> 87    24.00      0  27        0         0
#> 200   24.00      0  64        0         0
#> 38    24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 144   24.00      0  28        0         1
#> 27    24.00      0  63        1         0
#> 34    24.00      0  36        0         0
#> 119   24.00      0  17        0         0
#> 64.1  24.00      0  43        0         0
#> 132.1 24.00      0  55        0         0
#> 44    24.00      0  56        0         0
#> 131.1 24.00      0  66        0         0
#> 2.1   24.00      0   9        0         0
#> 146   24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 104.1 24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 112   24.00      0  61        0         0
#> 156   24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 156.1 24.00      0  50        1         0
#> 72.2  24.00      0  40        0         1
#> 200.1 24.00      0  64        0         0
#> 104.2 24.00      0  50        1         0
#> 116.1 24.00      0  58        0         1
#> 20.1  24.00      0  46        1         0
#> 31    24.00      0  36        0         1
#> 182.1 24.00      0  35        0         0
#> 83.1  24.00      0   6        0         0
#> 20.2  24.00      0  46        1         0
#> 142.1 24.00      0  53        0         0
#> 118   24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 64.2  24.00      0  43        0         0
#> 94.1  24.00      0  51        0         1
#> 112.1 24.00      0  61        0         0
#> 178.1 24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 148.1 24.00      0  61        1         0
#> 82.1  24.00      0  34        0         0
#> 161.1 24.00      0  45        0         0
#> 72.3  24.00      0  40        0         1
#> 80    24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 104.3 24.00      0  50        1         0
#> 162.1 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.539          NA        NA      NA
#> 2 age, Cure model          0.00439        NA        NA      NA
#> 3 grade_ii, Cure model     0.0626         NA        NA      NA
#> 4 grade_iii, Cure model    1.48           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00559        NA        NA      NA
#> 2 grade_ii, Survival model   0.976          NA        NA      NA
#> 3 grade_iii, Survival model  0.0702         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.539369          0.004387          0.062554          1.484562  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.9 
#> Residual Deviance: 234.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.539369110      0.004387182      0.062553507      1.484562479 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005585743      0.975905746      0.070226123 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.616026183 0.849569387 0.819623407 0.668444345 0.403940259 0.173415363
#>   [7] 0.879456273 0.467808827 0.240954493 0.879456273 0.709876339 0.240954493
#>  [13] 0.839531800 0.616026183 0.201393338 0.780176968 0.330447802 0.435512839
#>  [19] 0.052196484 0.981929709 0.007225315 0.026217745 0.403940259 0.521612979
#>  [25] 0.090747087 0.211292948 0.240954493 0.605531154 0.489287669 0.790083879
#>  [31] 0.382722050 0.007225315 0.963754736 0.699738665 0.457129692 0.081263473
#>  [37] 0.542322923 0.972892920 0.173415363 0.936665998 0.154810898 0.288927766
#>  [43] 0.760286914 0.936665998 0.330447802 0.790083879 0.007225315 0.309739598
#>  [49] 0.117367850 0.770293735 0.689395235 0.573745889 0.563168532 0.647302815
#>  [55] 0.090747087 0.361990153 0.117367850 0.647302815 0.090747087 0.594847599
#>  [61] 0.790083879 0.117367850 0.403940259 0.230840079 0.819623407 0.678908864
#>  [67] 0.299304059 0.879456273 0.740466403 0.026217745 0.154810898 0.849569387
#>  [73] 0.361990153 0.309739598 0.521612979 0.026217745 0.879456273 0.063058346
#>  [79] 0.435512839 0.709876339 0.936665998 0.478523884 0.740466403 0.730204231
#>  [85] 0.240954493 0.173415363 0.393306115 0.849569387 0.616026183 0.145367459
#>  [91] 0.573745889 0.211292948 0.072025078 0.542322923 0.981929709 0.927204181
#>  [97] 0.240954493 0.917624383 0.510733176 0.351587156 0.489287669 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    13    61    52    60    45    90   145   171   170 145.1   177 170.1    93 
#> 14.34 10.12 10.42 13.15 17.42 20.94 10.07 16.57 19.54 10.07 12.53 19.54 10.33 
#>  13.1    68   159    51    23    69   127    86   168  45.1    79   194   128 
#> 14.34 20.62 10.55 18.23 16.92 23.23  3.53 23.81 23.72 17.42 16.23 22.40 20.35 
#> 170.2    18   181    10   110  86.1    77   154   106   169   188    25  90.1 
#> 19.54 15.21 16.46 10.53 17.56 23.81  7.27 12.63 16.67 22.41 16.16  6.32 20.94 
#>    70    99    58    43  70.1  51.1  10.1  86.2   108   175   107   140    26 
#>  7.38 21.19 19.34 12.10  7.38 18.23 10.53 23.81 18.29 21.91 11.18 12.68 15.77 
#>   100    81 194.1   184 175.1  81.1 194.2     6  10.2 175.2  45.2   105  52.1 
#> 16.07 14.06 22.40 17.77 21.91 14.06 22.40 15.64 10.53 21.91 17.42 19.75 10.42 
#>   155     8 145.2    49 168.1  99.1  61.1 184.1 108.1  79.1 168.2 145.3    63 
#> 13.08 18.43 10.07 12.19 23.72 21.19 10.12 17.77 18.29 16.23 23.72 10.07 22.77 
#>  23.1 177.1  70.2   130  49.1    42 170.3  90.2   111  61.2  13.2   139  26.1 
#> 16.92 12.53  7.38 16.47 12.19 12.43 19.54 20.94 17.45 10.12 14.34 21.49 15.77 
#> 128.1    15 188.1 127.1   149 170.4   187    85   134 181.1   160   172    67 
#> 20.35 22.68 16.16  3.53  8.37 19.54  9.92 16.44 17.81 16.46 24.00 24.00 24.00 
#>   120    48   131   185   137   135    82    64   196    72    28    21    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    22    83    75    20   178    33 160.1   103    94   104   132     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182 120.1   161    87   200    38  72.1   144    27    34   119  64.1 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44 131.1   2.1   146    62   191 104.1    11   112   156   162   142 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.2 200.1 104.2 116.1  20.1    31 182.1  83.1  20.2 142.1   118 146.1   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.2  94.1 112.1 178.1    95   121   109    65 148.1  82.1 161.1  72.3    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122 104.3 162.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[80]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00615388                0.62925663                0.15335425 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.1183117814           -0.0001554406            0.0926059387 
#>   grade_iii, Cure model 
#>            0.7744831176 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 45    17.42      1  54        0         1
#> 76    19.22      1  54        0         1
#> 107   11.18      1  54        1         0
#> 111   17.45      1  47        0         1
#> 69    23.23      1  25        0         1
#> 51    18.23      1  83        0         1
#> 110   17.56      1  65        0         1
#> 10    10.53      1  34        0         0
#> 24    23.89      1  38        0         0
#> 117   17.46      1  26        0         1
#> 194   22.40      1  38        0         1
#> 56    12.21      1  60        0         0
#> 157   15.10      1  47        0         0
#> 128   20.35      1  35        0         1
#> 4     17.64      1  NA        0         1
#> 158   20.14      1  74        1         0
#> 166   19.98      1  48        0         0
#> 15    22.68      1  48        0         0
#> 179   18.63      1  42        0         0
#> 183    9.24      1  67        1         0
#> 13    14.34      1  54        0         1
#> 76.1  19.22      1  54        0         1
#> 86    23.81      1  58        0         1
#> 199   19.81      1  NA        0         1
#> 100   16.07      1  60        0         0
#> 155   13.08      1  26        0         0
#> 61    10.12      1  36        0         1
#> 57    14.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 61.1  10.12      1  36        0         1
#> 58    19.34      1  39        0         0
#> 51.1  18.23      1  83        0         1
#> 100.1 16.07      1  60        0         0
#> 169   22.41      1  46        0         0
#> 14    12.89      1  21        0         0
#> 42    12.43      1  49        0         1
#> 76.2  19.22      1  54        0         1
#> 180   14.82      1  37        0         0
#> 49    12.19      1  48        1         0
#> 107.1 11.18      1  54        1         0
#> 55    19.34      1  69        0         1
#> 101    9.97      1  10        0         1
#> 195   11.76      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 25     6.32      1  34        1         0
#> 68    20.62      1  44        0         0
#> 18    15.21      1  49        1         0
#> 4.1   17.64      1  NA        0         1
#> 170   19.54      1  43        0         1
#> 15.1  22.68      1  48        0         0
#> 180.1 14.82      1  37        0         0
#> 14.1  12.89      1  21        0         0
#> 90.1  20.94      1  50        0         1
#> 155.1 13.08      1  26        0         0
#> 24.1  23.89      1  38        0         0
#> 99    21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 5     16.43      1  51        0         1
#> 154   12.63      1  20        1         0
#> 25.1   6.32      1  34        1         0
#> 140   12.68      1  59        1         0
#> 25.2   6.32      1  34        1         0
#> 55.1  19.34      1  69        0         1
#> 63    22.77      1  31        1         0
#> 26    15.77      1  49        0         1
#> 79    16.23      1  54        1         0
#> 32    20.90      1  37        1         0
#> 92.1  22.92      1  47        0         1
#> 134   17.81      1  47        1         0
#> 5.1   16.43      1  51        0         1
#> 181   16.46      1  45        0         1
#> 63.1  22.77      1  31        1         0
#> 45.1  17.42      1  54        0         1
#> 164   23.60      1  76        0         1
#> 18.1  15.21      1  49        1         0
#> 159   10.55      1  50        0         1
#> 177   12.53      1  75        0         0
#> 86.1  23.81      1  58        0         1
#> 88    18.37      1  47        0         0
#> 188   16.16      1  46        0         1
#> 40    18.00      1  28        1         0
#> 68.1  20.62      1  44        0         0
#> 58.1  19.34      1  39        0         0
#> 70     7.38      1  30        1         0
#> 4.2   17.64      1  NA        0         1
#> 183.1  9.24      1  67        1         0
#> 130   16.47      1  53        0         1
#> 154.1 12.63      1  20        1         0
#> 114   13.68      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 199.1 19.81      1  NA        0         1
#> 187    9.92      1  39        1         0
#> 96    14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 36    21.19      1  48        0         1
#> 183.2  9.24      1  67        1         0
#> 79.1  16.23      1  54        1         0
#> 14.2  12.89      1  21        0         0
#> 8     18.43      1  32        0         0
#> 153   21.33      1  55        1         0
#> 5.2   16.43      1  51        0         1
#> 117.1 17.46      1  26        0         1
#> 184   17.77      1  38        0         0
#> 25.3   6.32      1  34        1         0
#> 129   23.41      1  53        1         0
#> 170.1 19.54      1  43        0         1
#> 37    12.52      1  57        1         0
#> 169.1 22.41      1  46        0         0
#> 127.1  3.53      1  62        0         1
#> 68.2  20.62      1  44        0         0
#> 199.2 19.81      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 83    24.00      0   6        0         0
#> 22    24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 95    24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 7     24.00      0  37        1         0
#> 33    24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 9     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 17    24.00      0  38        0         1
#> 22.1  24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 186   24.00      0  45        1         0
#> 186.1 24.00      0  45        1         0
#> 9.1   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 112   24.00      0  61        0         0
#> 87    24.00      0  27        0         0
#> 102   24.00      0  49        0         0
#> 118   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 151   24.00      0  42        0         0
#> 162   24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 143   24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 35    24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 9.2   24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 161   24.00      0  45        0         0
#> 17.1  24.00      0  38        0         1
#> 162.1 24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 103   24.00      0  56        1         0
#> 156   24.00      0  50        1         0
#> 173.1 24.00      0  19        0         1
#> 138   24.00      0  44        1         0
#> 54.1  24.00      0  53        1         0
#> 193.1 24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 198.1 24.00      0  66        0         1
#> 19    24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 165   24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 161.1 24.00      0  45        0         0
#> 1.1   24.00      0  23        1         0
#> 144.1 24.00      0  28        0         1
#> 2     24.00      0   9        0         0
#> 116   24.00      0  58        0         1
#> 9.3   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 54.2  24.00      0  53        1         0
#> 87.1  24.00      0  27        0         0
#> 198.2 24.00      0  66        0         1
#> 21    24.00      0  47        0         0
#> 53.1  24.00      0  32        0         1
#> 137   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 142   24.00      0  53        0         0
#> 22.2  24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 83.1  24.00      0   6        0         0
#> 12.1  24.00      0  63        0         0
#> 72    24.00      0  40        0         1
#> 185   24.00      0  44        1         0
#> 33.1  24.00      0  53        0         0
#> 72.1  24.00      0  40        0         1
#> 33.2  24.00      0  53        0         0
#> 148.1 24.00      0  61        1         0
#> 112.1 24.00      0  61        0         0
#> 17.2  24.00      0  38        0         1
#> 174.1 24.00      0  49        1         0
#> 21.1  24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 146   24.00      0  63        1         0
#> 161.2 24.00      0  45        0         0
#> 95.1  24.00      0  68        0         1
#> 35.1  24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 176.1 24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.118           NA        NA      NA
#> 2 age, Cure model         -0.000155        NA        NA      NA
#> 3 grade_ii, Cure model     0.0926          NA        NA      NA
#> 4 grade_iii, Cure model    0.774           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00615        NA        NA      NA
#> 2 grade_ii, Survival model   0.629          NA        NA      NA
#> 3 grade_iii, Survival model  0.153          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.1183118        -0.0001554         0.0926059         0.7744831  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 259.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.1183117814    -0.0001554406     0.0926059387     0.7744831176 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00615388       0.62925663       0.15335425 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.474076471 0.327084121 0.825137067 0.464128467 0.054678810 0.385078073
#>   [7] 0.434575809 0.854767379 0.005331586 0.444498571 0.144256236 0.805099516
#>  [13] 0.623944668 0.243858569 0.253177313 0.262431419 0.108751936 0.355512717
#>  [19] 0.904378669 0.674434774 0.327084121 0.018861080 0.573767907 0.694734205
#>  [25] 0.864715814 0.664273721 0.189836138 0.864715814 0.290257507 0.385078073
#>  [31] 0.573767907 0.126194788 0.714899654 0.795094870 0.327084121 0.634016970
#>  [37] 0.815142694 0.825137067 0.290257507 0.884528121 0.980921304 0.943282896
#>  [43] 0.217016461 0.604042700 0.271769770 0.108751936 0.634016970 0.714899654
#>  [49] 0.189836138 0.694734205 0.005331586 0.171965518 0.064087302 0.514011914
#>  [55] 0.755246632 0.943282896 0.745087419 0.943282896 0.290257507 0.092000391
#>  [61] 0.593877435 0.543884570 0.207951754 0.064087302 0.414876496 0.514011914
#>  [67] 0.503943647 0.092000391 0.474076471 0.035137321 0.604042700 0.844840758
#>  [73] 0.775079234 0.018861080 0.375163615 0.563733050 0.404955518 0.217016461
#>  [79] 0.290257507 0.933522778 0.904378669 0.493898713 0.755246632 0.082176467
#>  [85] 0.894479599 0.654130706 0.153635973 0.171965518 0.904378669 0.543884570
#>  [91] 0.714899654 0.365314541 0.162887659 0.514011914 0.444498571 0.424702332
#>  [97] 0.943282896 0.045275146 0.271769770 0.785107534 0.126194788 0.980921304
#> [103] 0.217016461 0.684620976 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    45    76   107   111    69    51   110    10    24   117   194    56   157 
#> 17.42 19.22 11.18 17.45 23.23 18.23 17.56 10.53 23.89 17.46 22.40 12.21 15.10 
#>   128   158   166    15   179   183    13  76.1    86   100   155    61    57 
#> 20.35 20.14 19.98 22.68 18.63  9.24 14.34 19.22 23.81 16.07 13.08 10.12 14.46 
#>    90  61.1    58  51.1 100.1   169    14    42  76.2   180    49 107.1    55 
#> 20.94 10.12 19.34 18.23 16.07 22.41 12.89 12.43 19.22 14.82 12.19 11.18 19.34 
#>   101   127    25    68    18   170  15.1 180.1  14.1  90.1 155.1  24.1    99 
#>  9.97  3.53  6.32 20.62 15.21 19.54 22.68 14.82 12.89 20.94 13.08 23.89 21.19 
#>    92     5   154  25.1   140  25.2  55.1    63    26    79    32  92.1   134 
#> 22.92 16.43 12.63  6.32 12.68  6.32 19.34 22.77 15.77 16.23 20.90 22.92 17.81 
#>   5.1   181  63.1  45.1   164  18.1   159   177  86.1    88   188    40  68.1 
#> 16.43 16.46 22.77 17.42 23.60 15.21 10.55 12.53 23.81 18.37 16.16 18.00 20.62 
#>  58.1    70 183.1   130 154.1   113   187    96   197    36 183.2  79.1  14.2 
#> 19.34  7.38  9.24 16.47 12.63 22.86  9.92 14.54 21.60 21.19  9.24 16.23 12.89 
#>     8   153   5.2 117.1   184  25.3   129 170.1    37 169.1 127.1  68.2    60 
#> 18.43 21.33 16.43 17.46 17.77  6.32 23.41 19.54 12.52 22.41  3.53 20.62 13.15 
#>    83    22    54    95   121     7    33    98     9   193    17  22.1   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186 186.1   9.1   174   112    87   102   118    62   151   162    44   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    35   120   173   9.2    12   161  17.1 162.1   163 163.1   144    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   156 173.1   138  54.1 193.1     1 198.1    19    53   165   176    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1   1.1 144.1     2   116   9.3    67  54.2  87.1 198.2    21  53.1   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   142  22.2    65  83.1  12.1    72   185  33.1  72.1  33.2 148.1 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.2 174.1  21.1    20   146 161.2  95.1  35.1   182 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[81]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004150085               0.773478821               0.442357026 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.04888453              0.02424159             -0.30183059 
#>   grade_iii, Cure model 
#>              0.58370064 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 166   19.98      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 179   18.63      1  42        0         0
#> 124    9.73      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 113   22.86      1  34        0         0
#> 88    18.37      1  47        0         0
#> 168   23.72      1  70        0         0
#> 60    13.15      1  38        1         0
#> 150   20.33      1  48        0         0
#> 58    19.34      1  39        0         0
#> 113.1 22.86      1  34        0         0
#> 59    10.16      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 30    17.43      1  78        0         0
#> 113.2 22.86      1  34        0         0
#> 68    20.62      1  44        0         0
#> 4     17.64      1  NA        0         1
#> 81    14.06      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 91     5.33      1  61        0         1
#> 130   16.47      1  53        0         1
#> 37    12.52      1  57        1         0
#> 42.1  12.43      1  49        0         1
#> 125   15.65      1  67        1         0
#> 108   18.29      1  39        0         1
#> 158   20.14      1  74        1         0
#> 108.1 18.29      1  39        0         1
#> 90    20.94      1  50        0         1
#> 36    21.19      1  48        0         1
#> 25     6.32      1  34        1         0
#> 150.1 20.33      1  48        0         0
#> 42.2  12.43      1  49        0         1
#> 180   14.82      1  37        0         0
#> 90.1  20.94      1  50        0         1
#> 86    23.81      1  58        0         1
#> 52    10.42      1  52        0         1
#> 195.1 11.76      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 184   17.77      1  38        0         0
#> 30.1  17.43      1  78        0         0
#> 86.1  23.81      1  58        0         1
#> 15    22.68      1  48        0         0
#> 145   10.07      1  65        1         0
#> 52.1  10.42      1  52        0         1
#> 69    23.23      1  25        0         1
#> 42.3  12.43      1  49        0         1
#> 140   12.68      1  59        1         0
#> 90.2  20.94      1  50        0         1
#> 85    16.44      1  36        0         0
#> 51    18.23      1  83        0         1
#> 93    10.33      1  52        0         1
#> 153   21.33      1  55        1         0
#> 37.1  12.52      1  57        1         0
#> 49    12.19      1  48        1         0
#> 197   21.60      1  69        1         0
#> 183    9.24      1  67        1         0
#> 23    16.92      1  61        0         0
#> 5     16.43      1  51        0         1
#> 184.1 17.77      1  38        0         0
#> 79    16.23      1  54        1         0
#> 101    9.97      1  10        0         1
#> 52.2  10.42      1  52        0         1
#> 189   10.51      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 93.1  10.33      1  52        0         1
#> 24.1  23.89      1  38        0         0
#> 107   11.18      1  54        1         0
#> 8     18.43      1  32        0         0
#> 197.1 21.60      1  69        1         0
#> 85.1  16.44      1  36        0         0
#> 61    10.12      1  36        0         1
#> 60.1  13.15      1  38        1         0
#> 133   14.65      1  57        0         0
#> 8.1   18.43      1  32        0         0
#> 70     7.38      1  30        1         0
#> 13    14.34      1  54        0         1
#> 70.1   7.38      1  30        1         0
#> 5.1   16.43      1  51        0         1
#> 32    20.90      1  37        1         0
#> 175   21.91      1  43        0         0
#> 155   13.08      1  26        0         0
#> 184.2 17.77      1  38        0         0
#> 164   23.60      1  76        0         1
#> 85.2  16.44      1  36        0         0
#> 129   23.41      1  53        1         0
#> 51.1  18.23      1  83        0         1
#> 129.1 23.41      1  53        1         0
#> 15.1  22.68      1  48        0         0
#> 110   17.56      1  65        0         1
#> 183.1  9.24      1  67        1         0
#> 184.3 17.77      1  38        0         0
#> 57    14.46      1  45        0         1
#> 24.2  23.89      1  38        0         0
#> 90.3  20.94      1  50        0         1
#> 76    19.22      1  54        0         1
#> 79.1  16.23      1  54        1         0
#> 37.2  12.52      1  57        1         0
#> 125.1 15.65      1  67        1         0
#> 181   16.46      1  45        0         1
#> 96    14.54      1  33        0         1
#> 91.1   5.33      1  61        0         1
#> 69.1  23.23      1  25        0         1
#> 89    11.44      1  NA        0         0
#> 177   12.53      1  75        0         0
#> 149    8.37      1  33        1         0
#> 195.2 11.76      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 5.2   16.43      1  51        0         1
#> 157   15.10      1  47        0         0
#> 54    24.00      0  53        1         0
#> 82    24.00      0  34        0         0
#> 191   24.00      0  60        0         1
#> 147   24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 21    24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 2     24.00      0   9        0         0
#> 47    24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 64    24.00      0  43        0         0
#> 17    24.00      0  38        0         1
#> 176   24.00      0  43        0         1
#> 143.1 24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 71    24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 7     24.00      0  37        1         0
#> 31    24.00      0  36        0         1
#> 147.1 24.00      0  76        1         0
#> 48    24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 65    24.00      0  57        1         0
#> 27.1  24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 74    24.00      0  43        0         1
#> 161   24.00      0  45        0         0
#> 119   24.00      0  17        0         0
#> 112   24.00      0  61        0         0
#> 135   24.00      0  58        1         0
#> 87    24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 71.1  24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 119.1 24.00      0  17        0         0
#> 120   24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 64.1  24.00      0  43        0         0
#> 83.1  24.00      0   6        0         0
#> 80    24.00      0  41        0         0
#> 74.1  24.00      0  43        0         1
#> 35    24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 193.1 24.00      0  45        0         1
#> 17.1  24.00      0  38        0         1
#> 121   24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 84    24.00      0  39        0         1
#> 44.1  24.00      0  56        0         0
#> 196   24.00      0  19        0         0
#> 144.1 24.00      0  28        0         1
#> 3     24.00      0  31        1         0
#> 143.2 24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 119.2 24.00      0  17        0         0
#> 84.1  24.00      0  39        0         1
#> 33    24.00      0  53        0         0
#> 143.3 24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 84.2  24.00      0  39        0         1
#> 64.2  24.00      0  43        0         0
#> 173   24.00      0  19        0         1
#> 146.1 24.00      0  63        1         0
#> 44.2  24.00      0  56        0         0
#> 22    24.00      0  52        1         0
#> 137   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 103.1 24.00      0  56        1         0
#> 20    24.00      0  46        1         0
#> 182   24.00      0  35        0         0
#> 142   24.00      0  53        0         0
#> 182.1 24.00      0  35        0         0
#> 12    24.00      0  63        0         0
#> 34    24.00      0  36        0         0
#> 137.1 24.00      0  45        1         0
#> 87.1  24.00      0  27        0         0
#> 173.1 24.00      0  19        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.05          NA        NA      NA
#> 2 age, Cure model           0.0242        NA        NA      NA
#> 3 grade_ii, Cure model     -0.302         NA        NA      NA
#> 4 grade_iii, Cure model     0.584         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00415        NA        NA      NA
#> 2 grade_ii, Survival model   0.773          NA        NA      NA
#> 3 grade_iii, Survival model  0.442          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.04888           0.02424          -0.30183           0.58370  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 251.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.04888453       0.02424159      -0.30183059       0.58370064 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004150085      0.773478821      0.442357026 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.36534190 0.37497336 0.40404741 0.85369988 0.16387029 0.43303706
#>   [7] 0.07876740 0.74154051 0.33653934 0.38465968 0.16387029 0.81153241
#>  [13] 0.53701350 0.16387029 0.31751900 0.73245478 0.31751900 0.98439119
#>  [19] 0.56566523 0.78584673 0.81153241 0.65959676 0.44282986 0.35575609
#>  [25] 0.44282986 0.27051259 0.26022575 0.97652954 0.33653934 0.81153241
#>  [31] 0.68682777 0.27051259 0.05283798 0.87057105 0.01638574 0.49039375
#>  [37] 0.53701350 0.05283798 0.19537003 0.92016746 0.87057105 0.13138470
#>  [43] 0.81153241 0.76814348 0.27051259 0.58479863 0.46192857 0.89536371
#>  [49] 0.24982582 0.78584673 0.84521656 0.22883919 0.93658677 0.55603471
#>  [55] 0.61315429 0.49039375 0.64117401 0.92839502 0.87057105 0.48094654
#>  [61] 0.89536371 0.01638574 0.86216568 0.41374936 0.22883919 0.58479863
#>  [67] 0.91189145 0.74154051 0.69597743 0.41374936 0.96075798 0.72338386
#>  [73] 0.96075798 0.61315429 0.30795919 0.21742148 0.75923394 0.49039375
#>  [79] 0.09370950 0.58479863 0.10834135 0.46192857 0.10834135 0.19537003
#>  [85] 0.52751111 0.93658677 0.49039375 0.71428512 0.01638574 0.27051259
#>  [91] 0.39438260 0.64117401 0.78584673 0.65959676 0.57525509 0.70515249
#>  [97] 0.98439119 0.13138470 0.77698162 0.95271851 0.15291892 0.61315429
#> [103] 0.67769544 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   166   105   179    43   113    88   168    60   150    58 113.1    42    30 
#> 19.98 19.75 18.63 12.10 22.86 18.37 23.72 13.15 20.33 19.34 22.86 12.43 17.43 
#> 113.2    68    81  68.1    91   130    37  42.1   125   108   158 108.1    90 
#> 22.86 20.62 14.06 20.62  5.33 16.47 12.52 12.43 15.65 18.29 20.14 18.29 20.94 
#>    36    25 150.1  42.2   180  90.1    86    52    24   184  30.1  86.1    15 
#> 21.19  6.32 20.33 12.43 14.82 20.94 23.81 10.42 23.89 17.77 17.43 23.81 22.68 
#>   145  52.1    69  42.3   140  90.2    85    51    93   153  37.1    49   197 
#> 10.07 10.42 23.23 12.43 12.68 20.94 16.44 18.23 10.33 21.33 12.52 12.19 21.60 
#>   183    23     5 184.1    79   101  52.2    41  93.1  24.1   107     8 197.1 
#>  9.24 16.92 16.43 17.77 16.23  9.97 10.42 18.02 10.33 23.89 11.18 18.43 21.60 
#>  85.1    61  60.1   133   8.1    70    13  70.1   5.1    32   175   155 184.2 
#> 16.44 10.12 13.15 14.65 18.43  7.38 14.34  7.38 16.43 20.90 21.91 13.08 17.77 
#>   164  85.2   129  51.1 129.1  15.1   110 183.1 184.3    57  24.2  90.3    76 
#> 23.60 16.44 23.41 18.23 23.41 22.68 17.56  9.24 17.77 14.46 23.89 20.94 19.22 
#>  79.1  37.2 125.1   181    96  91.1  69.1   177   149    92   5.2   157    54 
#> 16.23 12.52 15.65 16.46 14.54  5.33 23.23 12.53  8.37 22.92 16.43 15.10 24.00 
#>    82   191   147    44    21    95   143    27   144     2    47    64    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176 143.1   160   193    71   132     7    31 147.1    48   200    65  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    74   161   119   112   135    87   162   118   141  71.1   156 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    83   146   116  64.1  83.1    80  74.1    35   163 193.1  17.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    84  44.1   196 144.1     3 143.2   138 178.1    75   185 119.2  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33 143.3   103  84.2  64.2   173 146.1  44.2    22   137     1 103.1    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   142 182.1    12    34 137.1  87.1 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[82]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006428589               0.360092462               0.296470182 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.06362504              0.02233633             -0.29368270 
#>   grade_iii, Cure model 
#>              1.00315202 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 136   21.83      1  43        0         1
#> 56    12.21      1  60        0         0
#> 8     18.43      1  32        0         0
#> 105   19.75      1  60        0         0
#> 77     7.27      1  67        0         1
#> 60    13.15      1  38        1         0
#> 10    10.53      1  34        0         0
#> 10.1  10.53      1  34        0         0
#> 85    16.44      1  36        0         0
#> 145   10.07      1  65        1         0
#> 91     5.33      1  61        0         1
#> 49    12.19      1  48        1         0
#> 136.1 21.83      1  43        0         1
#> 86    23.81      1  58        0         1
#> 167   15.55      1  56        1         0
#> 66    22.13      1  53        0         0
#> 81    14.06      1  34        0         0
#> 13    14.34      1  54        0         1
#> 52    10.42      1  52        0         1
#> 32    20.90      1  37        1         0
#> 41    18.02      1  40        1         0
#> 90    20.94      1  50        0         1
#> 101    9.97      1  10        0         1
#> 93    10.33      1  52        0         1
#> 197   21.60      1  69        1         0
#> 159   10.55      1  50        0         1
#> 177   12.53      1  75        0         0
#> 130   16.47      1  53        0         1
#> 81.1  14.06      1  34        0         0
#> 90.1  20.94      1  50        0         1
#> 55    19.34      1  69        0         1
#> 78    23.88      1  43        0         0
#> 111   17.45      1  47        0         1
#> 139   21.49      1  63        1         0
#> 195   11.76      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 10.2  10.53      1  34        0         0
#> 40    18.00      1  28        1         0
#> 23    16.92      1  61        0         0
#> 129   23.41      1  53        1         0
#> 166   19.98      1  48        0         0
#> 42    12.43      1  49        0         1
#> 63    22.77      1  31        1         0
#> 164   23.60      1  76        0         1
#> 26    15.77      1  49        0         1
#> 179   18.63      1  42        0         0
#> 50    10.02      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 15    22.68      1  48        0         0
#> 184   17.77      1  38        0         0
#> 124    9.73      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 29    15.45      1  68        1         0
#> 101.1  9.97      1  10        0         1
#> 57    14.46      1  45        0         1
#> 77.1   7.27      1  67        0         1
#> 164.1 23.60      1  76        0         1
#> 57.1  14.46      1  45        0         1
#> 192   16.44      1  31        1         0
#> 100   16.07      1  60        0         0
#> 66.1  22.13      1  53        0         0
#> 175   21.91      1  43        0         0
#> 127    3.53      1  62        0         1
#> 23.1  16.92      1  61        0         0
#> 58    19.34      1  39        0         0
#> 43    12.10      1  61        0         1
#> 100.1 16.07      1  60        0         0
#> 70     7.38      1  30        1         0
#> 127.1  3.53      1  62        0         1
#> 69    23.23      1  25        0         1
#> 139.1 21.49      1  63        1         0
#> 51    18.23      1  83        0         1
#> 92    22.92      1  47        0         1
#> 43.1  12.10      1  61        0         1
#> 111.1 17.45      1  47        0         1
#> 89    11.44      1  NA        0         0
#> 159.1 10.55      1  50        0         1
#> 157   15.10      1  47        0         0
#> 88    18.37      1  47        0         0
#> 117   17.46      1  26        0         1
#> 93.1  10.33      1  52        0         1
#> 149    8.37      1  33        1         0
#> 149.1  8.37      1  33        1         0
#> 24    23.89      1  38        0         0
#> 180   14.82      1  37        0         0
#> 96    14.54      1  33        0         1
#> 123   13.00      1  44        1         0
#> 110   17.56      1  65        0         1
#> 6     15.64      1  39        0         0
#> 154   12.63      1  20        1         0
#> 96.1  14.54      1  33        0         1
#> 4     17.64      1  NA        0         1
#> 127.2  3.53      1  62        0         1
#> 93.2  10.33      1  52        0         1
#> 117.1 17.46      1  26        0         1
#> 58.1  19.34      1  39        0         0
#> 49.1  12.19      1  48        1         0
#> 117.2 17.46      1  26        0         1
#> 145.1 10.07      1  65        1         0
#> 169   22.41      1  46        0         0
#> 36    21.19      1  48        0         1
#> 100.2 16.07      1  60        0         0
#> 190   20.81      1  42        1         0
#> 86.1  23.81      1  58        0         1
#> 179.1 18.63      1  42        0         0
#> 136.2 21.83      1  43        0         1
#> 15.1  22.68      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 36.1  21.19      1  48        0         1
#> 26.1  15.77      1  49        0         1
#> 158   20.14      1  74        1         0
#> 137   24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 34    24.00      0  36        0         0
#> 102   24.00      0  49        0         0
#> 80    24.00      0  41        0         0
#> 160   24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 2     24.00      0   9        0         0
#> 53    24.00      0  32        0         1
#> 102.1 24.00      0  49        0         0
#> 104   24.00      0  50        1         0
#> 48    24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 27    24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 178.1 24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 156.1 24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 67    24.00      0  25        0         0
#> 193   24.00      0  45        0         1
#> 146   24.00      0  63        1         0
#> 116.1 24.00      0  58        0         1
#> 7.1   24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 2.1   24.00      0   9        0         0
#> 48.1  24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 82.1  24.00      0  34        0         0
#> 121   24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 172.1 24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 143   24.00      0  51        0         0
#> 116.2 24.00      0  58        0         1
#> 109   24.00      0  48        0         0
#> 126   24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 116.3 24.00      0  58        0         1
#> 1     24.00      0  23        1         0
#> 132   24.00      0  55        0         0
#> 46.1  24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 196   24.00      0  19        0         0
#> 193.1 24.00      0  45        0         1
#> 71    24.00      0  51        0         0
#> 173.1 24.00      0  19        0         1
#> 28    24.00      0  67        1         0
#> 46.2  24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 144   24.00      0  28        0         1
#> 11    24.00      0  42        0         1
#> 53.1  24.00      0  32        0         1
#> 65    24.00      0  57        1         0
#> 122.1 24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 7.2   24.00      0  37        1         0
#> 1.1   24.00      0  23        1         0
#> 193.2 24.00      0  45        0         1
#> 135.1 24.00      0  58        1         0
#> 87    24.00      0  27        0         0
#> 151.1 24.00      0  42        0         0
#> 146.1 24.00      0  63        1         0
#> 104.1 24.00      0  50        1         0
#> 65.1  24.00      0  57        1         0
#> 71.1  24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 172.2 24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 173.2 24.00      0  19        0         1
#> 87.1  24.00      0  27        0         0
#> 165   24.00      0  47        0         0
#> 103.1 24.00      0  56        1         0
#> 162   24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 11.1  24.00      0  42        0         1
#> 193.3 24.00      0  45        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.06          NA        NA      NA
#> 2 age, Cure model           0.0223        NA        NA      NA
#> 3 grade_ii, Cure model     -0.294         NA        NA      NA
#> 4 grade_iii, Cure model     1.00          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00643        NA        NA      NA
#> 2 grade_ii, Survival model   0.360          NA        NA      NA
#> 3 grade_iii, Survival model  0.296          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.06363           0.02234          -0.29368           1.00315  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 247.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.06362504       0.02233633      -0.29368270       1.00315202 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006428589      0.360092462      0.296470182 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.130335223 0.718041808 0.327296740 0.262885830 0.939568767 0.657878921
#>   [7] 0.788263117 0.788263117 0.470587127 0.858770784 0.959703521 0.728129944
#>  [13] 0.130335223 0.017383404 0.548422989 0.103941393 0.637926415 0.627932791
#>  [19] 0.818399328 0.226861029 0.356141431 0.209146102 0.879047805 0.828575315
#>  [25] 0.155761302 0.768193773 0.687919023 0.460882306 0.637926415 0.209146102
#>  [31] 0.272067597 0.009087525 0.422773088 0.164786649 0.299209314 0.788263117
#>  [37] 0.365789446 0.441694333 0.046576658 0.253805582 0.707998830 0.071276677
#>  [43] 0.031333127 0.518900902 0.308578231 0.182427275 0.899203342 0.079296323
#>  [49] 0.375387524 0.697958469 0.558351146 0.879047805 0.608120055 0.939568767
#>  [55] 0.031333127 0.608120055 0.470587127 0.489809348 0.103941393 0.121207419
#>  [61] 0.969834012 0.441694333 0.272067597 0.748137375 0.489809348 0.929474199
#>  [67] 0.969834012 0.054926111 0.164786649 0.346465009 0.063097657 0.748137375
#>  [73] 0.422773088 0.768193773 0.568292415 0.336845313 0.394718417 0.828575315
#>  [79] 0.909355141 0.909355141 0.002534997 0.578279245 0.588302721 0.667913162
#>  [85] 0.385039097 0.538494821 0.677935316 0.588302721 0.969834012 0.828575315
#>  [91] 0.394718417 0.272067597 0.728129944 0.394718417 0.858770784 0.095350523
#>  [97] 0.191468957 0.489809348 0.235851990 0.017383404 0.308578231 0.130335223
#> [103] 0.079296323 0.191468957 0.518900902 0.244810799 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>   136    56     8   105    77    60    10  10.1    85   145    91    49 136.1 
#> 21.83 12.21 18.43 19.75  7.27 13.15 10.53 10.53 16.44 10.07  5.33 12.19 21.83 
#>    86   167    66    81    13    52    32    41    90   101    93   197   159 
#> 23.81 15.55 22.13 14.06 14.34 10.42 20.90 18.02 20.94  9.97 10.33 21.60 10.55 
#>   177   130  81.1  90.1    55    78   111   139    97  10.2    40    23   129 
#> 12.53 16.47 14.06 20.94 19.34 23.88 17.45 21.49 19.14 10.53 18.00 16.92 23.41 
#>   166    42    63   164    26   179   153    16    15   184    37    29 101.1 
#> 19.98 12.43 22.77 23.60 15.77 18.63 21.33  8.71 22.68 17.77 12.52 15.45  9.97 
#>    57  77.1 164.1  57.1   192   100  66.1   175   127  23.1    58    43 100.1 
#> 14.46  7.27 23.60 14.46 16.44 16.07 22.13 21.91  3.53 16.92 19.34 12.10 16.07 
#>    70 127.1    69 139.1    51    92  43.1 111.1 159.1   157    88   117  93.1 
#>  7.38  3.53 23.23 21.49 18.23 22.92 12.10 17.45 10.55 15.10 18.37 17.46 10.33 
#>   149 149.1    24   180    96   123   110     6   154  96.1 127.2  93.2 117.1 
#>  8.37  8.37 23.89 14.82 14.54 13.00 17.56 15.64 12.63 14.54  3.53 10.33 17.46 
#>  58.1  49.1 117.2 145.1   169    36 100.2   190  86.1 179.1 136.2  15.1  36.1 
#> 19.34 12.19 17.46 10.07 22.41 21.19 16.07 20.81 23.81 18.63 21.83 22.68 21.19 
#>  26.1   158   137   118    20    34   102    80   160    31     3   156    46 
#> 15.77 20.14 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   122   178     7     2    53 102.1   104    48   186    82    27   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1   185   151 156.1   173    67   193   146 116.1   7.1   142   2.1  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75  82.1   121   172 172.1    83   143 116.2   109   126    12   103 116.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   132  46.1   135   196 193.1    71 173.1    28  46.2    98   144    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1    65 122.1   7.2   1.1 193.2 135.1    87 151.1 146.1 104.1  65.1  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35 172.2   141 173.2  87.1   165 103.1   162  80.1  11.1 193.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[83]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01368079                0.46433383                0.33236667 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.79551947              0.01816845             -0.10190576 
#>   grade_iii, Cure model 
#>              0.53440364 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 100   16.07      1  60        0         0
#> 107   11.18      1  54        1         0
#> 170   19.54      1  43        0         1
#> 175   21.91      1  43        0         0
#> 189   10.51      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 59    10.16      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 57    14.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 39    15.59      1  37        0         1
#> 6     15.64      1  39        0         0
#> 89    11.44      1  NA        0         0
#> 124    9.73      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 114   13.68      1  NA        0         0
#> 16     8.71      1  71        0         1
#> 57.1  14.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 155   13.08      1  26        0         0
#> 171   16.57      1  41        0         1
#> 25     6.32      1  34        1         0
#> 16.1   8.71      1  71        0         1
#> 107.1 11.18      1  54        1         0
#> 57.2  14.46      1  45        0         1
#> 13    14.34      1  54        0         1
#> 58    19.34      1  39        0         0
#> 69    23.23      1  25        0         1
#> 175.1 21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 8     18.43      1  32        0         0
#> 167   15.55      1  56        1         0
#> 61    10.12      1  36        0         1
#> 37    12.52      1  57        1         0
#> 99    21.19      1  38        0         1
#> 32    20.90      1  37        1         0
#> 40    18.00      1  28        1         0
#> 76    19.22      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 192   16.44      1  31        1         0
#> 68    20.62      1  44        0         0
#> 56    12.21      1  60        0         0
#> 6.1   15.64      1  39        0         0
#> 158   20.14      1  74        1         0
#> 113   22.86      1  34        0         0
#> 159   10.55      1  50        0         1
#> 88    18.37      1  47        0         0
#> 123   13.00      1  44        1         0
#> 86.1  23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 59.2  10.16      1  NA        1         0
#> 175.2 21.91      1  43        0         0
#> 85    16.44      1  36        0         0
#> 59.3  10.16      1  NA        1         0
#> 61.1  10.12      1  36        0         1
#> 145   10.07      1  65        1         0
#> 43    12.10      1  61        0         1
#> 177.1 12.53      1  75        0         0
#> 29    15.45      1  68        1         0
#> 15    22.68      1  48        0         0
#> 130   16.47      1  53        0         1
#> 68.1  20.62      1  44        0         0
#> 192.1 16.44      1  31        1         0
#> 49    12.19      1  48        1         0
#> 77     7.27      1  67        0         1
#> 134   17.81      1  47        1         0
#> 133   14.65      1  57        0         0
#> 170.1 19.54      1  43        0         1
#> 24    23.89      1  38        0         0
#> 4     17.64      1  NA        0         1
#> 99.1  21.19      1  38        0         1
#> 187    9.92      1  39        1         0
#> 55    19.34      1  69        0         1
#> 130.1 16.47      1  53        0         1
#> 166   19.98      1  48        0         0
#> 79    16.23      1  54        1         0
#> 68.2  20.62      1  44        0         0
#> 63    22.77      1  31        1         0
#> 39.1  15.59      1  37        0         1
#> 26    15.77      1  49        0         1
#> 43.1  12.10      1  61        0         1
#> 100.1 16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 15.1  22.68      1  48        0         0
#> 127    3.53      1  62        0         1
#> 175.3 21.91      1  43        0         0
#> 29.1  15.45      1  68        1         0
#> 41    18.02      1  40        1         0
#> 10    10.53      1  34        0         0
#> 128   20.35      1  35        0         1
#> 197   21.60      1  69        1         0
#> 30    17.43      1  78        0         0
#> 26.1  15.77      1  49        0         1
#> 63.1  22.77      1  31        1         0
#> 50    10.02      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 175.4 21.91      1  43        0         0
#> 69.1  23.23      1  25        0         1
#> 85.1  16.44      1  36        0         0
#> 36    21.19      1  48        0         1
#> 52    10.42      1  52        0         1
#> 79.1  16.23      1  54        1         0
#> 184.1 17.77      1  38        0         0
#> 190   20.81      1  42        1         0
#> 66    22.13      1  53        0         0
#> 100.2 16.07      1  60        0         0
#> 70     7.38      1  30        1         0
#> 25.1   6.32      1  34        1         0
#> 158.1 20.14      1  74        1         0
#> 189.1 10.51      1  NA        1         0
#> 66.1  22.13      1  53        0         0
#> 109   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 156   24.00      0  50        1         0
#> 185   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 48    24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 165   24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 173   24.00      0  19        0         1
#> 141   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 9     24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 2     24.00      0   9        0         0
#> 173.1 24.00      0  19        0         1
#> 31    24.00      0  36        0         1
#> 38    24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 176.1 24.00      0  43        0         1
#> 151   24.00      0  42        0         0
#> 7     24.00      0  37        1         0
#> 67    24.00      0  25        0         0
#> 75    24.00      0  21        1         0
#> 19    24.00      0  57        0         1
#> 112   24.00      0  61        0         0
#> 3     24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 109.1 24.00      0  48        0         0
#> 120   24.00      0  68        0         1
#> 173.2 24.00      0  19        0         1
#> 82    24.00      0  34        0         0
#> 198.2 24.00      0  66        0         1
#> 141.1 24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 176.2 24.00      0  43        0         1
#> 22    24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 172.1 24.00      0  41        0         0
#> 22.1  24.00      0  52        1         0
#> 148   24.00      0  61        1         0
#> 115   24.00      0  NA        1         0
#> 98    24.00      0  34        1         0
#> 46    24.00      0  71        0         0
#> 163.1 24.00      0  66        0         0
#> 151.1 24.00      0  42        0         0
#> 118   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 27.1  24.00      0  63        1         0
#> 162   24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 31.1  24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 83    24.00      0   6        0         0
#> 152   24.00      0  36        0         1
#> 75.1  24.00      0  21        1         0
#> 80.1  24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 144.1 24.00      0  28        0         1
#> 95    24.00      0  68        0         1
#> 142.1 24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 98.1  24.00      0  34        1         0
#> 178   24.00      0  52        1         0
#> 126   24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 73    24.00      0  NA        0         1
#> 185.2 24.00      0  44        1         0
#> 142.2 24.00      0  53        0         0
#> 1     24.00      0  23        1         0
#> 126.1 24.00      0  48        0         0
#> 143.1 24.00      0  51        0         0
#> 142.3 24.00      0  53        0         0
#> 174   24.00      0  49        1         0
#> 9.1   24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 46.1  24.00      0  71        0         0
#> 31.2  24.00      0  36        0         1
#> 185.3 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.796         NA        NA      NA
#> 2 age, Cure model           0.0182        NA        NA      NA
#> 3 grade_ii, Cure model     -0.102         NA        NA      NA
#> 4 grade_iii, Cure model     0.534         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0137        NA        NA      NA
#> 2 grade_ii, Survival model    0.464         NA        NA      NA
#> 3 grade_iii, Survival model   0.332         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.79552           0.01817          -0.10191           0.53440  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 250.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.79551947       0.01816845      -0.10190576       0.53440364 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01368079       0.46433383       0.33236667 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7907941 0.9263936 0.6296711 0.4198853 0.1932241 0.9644490 0.8606825
#>   [8] 0.5391894 0.8294857 0.8186009 0.8898842 0.9726168 0.8606825 0.4964042
#>  [15] 0.8802239 0.7300023 0.9884356 0.9726168 0.9263936 0.8606825 0.8753573
#>  [22] 0.6451953 0.2493130 0.4198853 0.8946235 0.6747647 0.8401862 0.9520375
#>  [29] 0.9039016 0.5080632 0.5494172 0.6962302 0.6601288 0.7732133 0.7491030
#>  [36] 0.5689555 0.9084942 0.8186009 0.6052364 0.2954759 0.9350215 0.6820085
#>  [43] 0.8850792 0.1932241 0.9478301 0.4198853 0.7491030 0.9520375 0.9603399
#>  [50] 0.9175741 0.8946235 0.8454717 0.3553589 0.7365274 0.5689555 0.7491030
#>  [57] 0.9130575 0.9845175 0.7031830 0.8556259 0.6296711 0.1066181 0.5080632
#>  [64] 0.9685477 0.6451953 0.7365274 0.6215564 0.7792272 0.5689555 0.3184315
#>  [71] 0.8294857 0.8076131 0.9175741 0.7907941 0.6674779 0.3553589 0.9961626
#>  [78] 0.4198853 0.8454717 0.6891835 0.9393106 0.5961910 0.4839349 0.7233919
#>  [85] 0.8076131 0.3184315 0.7099993 0.4198853 0.2493130 0.7491030 0.5080632
#>  [92] 0.9435880 0.7792272 0.7099993 0.5593421 0.3890424 0.7907941 0.9805602
#>  [99] 0.9884356 0.6052364 0.3890424 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   100   107   170   175    86   101    57    90    39     6   140    16  57.1 
#> 16.07 11.18 19.54 21.91 23.81  9.97 14.46 20.94 15.59 15.64 12.68  8.71 14.46 
#>   139   155   171    25  16.1 107.1  57.2    13    58    69 175.1   177     8 
#> 21.49 13.08 16.57  6.32  8.71 11.18 14.46 14.34 19.34 23.23 21.91 12.53 18.43 
#>   167    61    37    99    32    40    76     5   192    68    56   6.1   158 
#> 15.55 10.12 12.52 21.19 20.90 18.00 19.22 16.43 16.44 20.62 12.21 15.64 20.14 
#>   113   159    88   123  86.1    93 175.2    85  61.1   145    43 177.1    29 
#> 22.86 10.55 18.37 13.00 23.81 10.33 21.91 16.44 10.12 10.07 12.10 12.53 15.45 
#>    15   130  68.1 192.1    49    77   134   133 170.1    24  99.1   187    55 
#> 22.68 16.47 20.62 16.44 12.19  7.27 17.81 14.65 19.54 23.89 21.19  9.92 19.34 
#> 130.1   166    79  68.2    63  39.1    26  43.1 100.1   179  15.1   127 175.3 
#> 16.47 19.98 16.23 20.62 22.77 15.59 15.77 12.10 16.07 18.63 22.68  3.53 21.91 
#>  29.1    41    10   128   197    30  26.1  63.1   184 175.4  69.1  85.1    36 
#> 15.45 18.02 10.53 20.35 21.60 17.43 15.77 22.77 17.77 21.91 23.23 16.44 21.19 
#>    52  79.1 184.1   190    66 100.2    70  25.1 158.1  66.1   109    20   156 
#> 10.42 16.23 17.77 20.81 22.13 16.07  7.38  6.32 20.14 22.13 24.00 24.00 24.00 
#>   185    44    48   176    27   165   198   173   141    17     9   163   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2 173.1    31    38   143 185.1 176.1   151     7    67    75    19   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3 198.1 109.1   120 173.2    82 198.2 141.1    71   137    35    65    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.2    22   172 172.1  22.1   148    98    46 163.1 151.1   118   135  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162    80   142  31.1   182    83   152  75.1  80.1   138   144 144.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1    84  98.1   178   126    12 185.2 142.2     1 126.1 143.1 142.3   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1  46.1  31.2 185.3 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[84]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.000899272               0.347099290               0.296119305 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.455076844             0.002447296            -0.084445013 
#>   grade_iii, Cure model 
#>             1.567619463 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 37    12.52      1  57        1         0
#> 16     8.71      1  71        0         1
#> 199   19.81      1  NA        0         1
#> 13    14.34      1  54        0         1
#> 32    20.90      1  37        1         0
#> 190   20.81      1  42        1         0
#> 50    10.02      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 194   22.40      1  38        0         1
#> 4     17.64      1  NA        0         1
#> 88    18.37      1  47        0         0
#> 92    22.92      1  47        0         1
#> 133   14.65      1  57        0         0
#> 129   23.41      1  53        1         0
#> 81    14.06      1  34        0         0
#> 42    12.43      1  49        0         1
#> 117   17.46      1  26        0         1
#> 130   16.47      1  53        0         1
#> 130.1 16.47      1  53        0         1
#> 37.1  12.52      1  57        1         0
#> 107   11.18      1  54        1         0
#> 23    16.92      1  61        0         0
#> 68    20.62      1  44        0         0
#> 159   10.55      1  50        0         1
#> 164   23.60      1  76        0         1
#> 91     5.33      1  61        0         1
#> 78    23.88      1  43        0         0
#> 30    17.43      1  78        0         0
#> 110   17.56      1  65        0         1
#> 57    14.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 81.1  14.06      1  34        0         0
#> 199.1 19.81      1  NA        0         1
#> 187    9.92      1  39        1         0
#> 69    23.23      1  25        0         1
#> 90    20.94      1  50        0         1
#> 63    22.77      1  31        1         0
#> 149    8.37      1  33        1         0
#> 181.1 16.46      1  45        0         1
#> 105   19.75      1  60        0         0
#> 78.1  23.88      1  43        0         0
#> 199.2 19.81      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 111   17.45      1  47        0         1
#> 10.1  10.53      1  34        0         0
#> 158   20.14      1  74        1         0
#> 60    13.15      1  38        1         0
#> 184   17.77      1  38        0         0
#> 86    23.81      1  58        0         1
#> 13.1  14.34      1  54        0         1
#> 97    19.14      1  65        0         1
#> 128   20.35      1  35        0         1
#> 179   18.63      1  42        0         0
#> 124    9.73      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 13.2  14.34      1  54        0         1
#> 192   16.44      1  31        1         0
#> 136   21.83      1  43        0         1
#> 192.1 16.44      1  31        1         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 61    10.12      1  36        0         1
#> 81.2  14.06      1  34        0         0
#> 59.1  10.16      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 90.1  20.94      1  50        0         1
#> 159.1 10.55      1  50        0         1
#> 180   14.82      1  37        0         0
#> 69.1  23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 37.2  12.52      1  57        1         0
#> 153   21.33      1  55        1         0
#> 110.1 17.56      1  65        0         1
#> 91.1   5.33      1  61        0         1
#> 175   21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 184.1 17.77      1  38        0         0
#> 139   21.49      1  63        1         0
#> 181.2 16.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 24    23.89      1  38        0         0
#> 81.3  14.06      1  34        0         0
#> 128.1 20.35      1  35        0         1
#> 78.2  23.88      1  43        0         0
#> 195   11.76      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 43.1  12.10      1  61        0         1
#> 183    9.24      1  67        1         0
#> 181.3 16.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 59.2  10.16      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 195.1 11.76      1  NA        1         0
#> 183.1  9.24      1  67        1         0
#> 150   20.33      1  48        0         0
#> 170   19.54      1  43        0         1
#> 124.1  9.73      1  NA        1         0
#> 81.4  14.06      1  34        0         0
#> 139.1 21.49      1  63        1         0
#> 8     18.43      1  32        0         0
#> 164.1 23.60      1  76        0         1
#> 155   13.08      1  26        0         0
#> 69.2  23.23      1  25        0         1
#> 52    10.42      1  52        0         1
#> 97.1  19.14      1  65        0         1
#> 166   19.98      1  48        0         0
#> 77     7.27      1  67        0         1
#> 57.2  14.46      1  45        0         1
#> 184.2 17.77      1  38        0         0
#> 163   24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 172   24.00      0  41        0         0
#> 118   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 131   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 198   24.00      0  66        0         1
#> 196   24.00      0  19        0         0
#> 121   24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 122.1 24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 131.1 24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 146   24.00      0  63        1         0
#> 65    24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 165   24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 178.1 24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 126   24.00      0  48        0         0
#> 182.1 24.00      0  35        0         0
#> 65.1  24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 119   24.00      0  17        0         0
#> 102.1 24.00      0  49        0         0
#> 118.1 24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 109.1 24.00      0  48        0         0
#> 102.2 24.00      0  49        0         0
#> 19    24.00      0  57        0         1
#> 109.2 24.00      0  48        0         0
#> 119.1 24.00      0  17        0         0
#> 120   24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 35    24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 2.1   24.00      0   9        0         0
#> 71    24.00      0  51        0         0
#> 151.1 24.00      0  42        0         0
#> 118.2 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 87.1  24.00      0  27        0         0
#> 141   24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 191   24.00      0  60        0         1
#> 38.1  24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 161   24.00      0  45        0         0
#> 62    24.00      0  71        0         0
#> 109.3 24.00      0  48        0         0
#> 173   24.00      0  19        0         1
#> 182.2 24.00      0  35        0         0
#> 84    24.00      0  39        0         1
#> 176   24.00      0  43        0         1
#> 118.3 24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 65.2  24.00      0  57        1         0
#> 21    24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 47    24.00      0  38        0         1
#> 65.3  24.00      0  57        1         0
#> 20.1  24.00      0  46        1         0
#> 65.4  24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 122.2 24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 165.1 24.00      0  47        0         0
#> 185.1 24.00      0  44        1         0
#> 191.1 24.00      0  60        0         1
#> 54.1  24.00      0  53        1         0
#> 191.2 24.00      0  60        0         1
#> 98    24.00      0  34        1         0
#> 160   24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 38.2  24.00      0  31        1         0
#> 54.2  24.00      0  53        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.455          NA        NA      NA
#> 2 age, Cure model          0.00245        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0844         NA        NA      NA
#> 4 grade_iii, Cure model    1.57           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000899        NA        NA      NA
#> 2 grade_ii, Survival model  0.347           NA        NA      NA
#> 3 grade_iii, Survival model 0.296           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.455077          0.002447         -0.084445          1.567619  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.8 
#> Residual Deviance: 232.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.455076844      0.002447296     -0.084445013      1.567619463 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.000899272      0.347099290      0.296119305 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.79899998 0.94535265 0.70628968 0.32690328 0.33761776 0.59222744
#>   [7] 0.25992592 0.22271289 0.46886243 0.19678119 0.67164361 0.14374344
#>  [13] 0.73170709 0.82382838 0.52648248 0.57383326 0.57383326 0.79899998
#>  [19] 0.84858688 0.55497795 0.34817500 0.85680426 0.11344519 0.97679206
#>  [25] 0.04603554 0.54551009 0.50743118 0.68049033 0.83215483 0.73170709
#>  [31] 0.92155295 0.15896797 0.30550643 0.20992899 0.95325626 0.59222744
#>  [37] 0.40962345 0.04603554 0.87303430 0.53603028 0.87303430 0.38933140
#>  [43] 0.77350342 0.47866919 0.09480061 0.70628968 0.42978017 0.35871937
#>  [49] 0.44922508 0.65393390 0.70628968 0.62758027 0.24769347 0.62758027
#>  [55] 0.56443671 0.89737223 0.90545956 0.73170709 0.99226079 0.30550643
#>  [61] 0.85680426 0.66279075 0.15896797 0.62758027 0.79899998 0.29428905
#>  [67] 0.50743118 0.97679206 0.23521618 0.79050610 0.47866919 0.27187426
#>  [73] 0.59222744 0.68049033 0.01751414 0.73170709 0.35871937 0.04603554
#>  [79] 0.91351890 0.83215483 0.92955453 0.59222744 0.96112999 0.92955453
#>  [85] 0.37904228 0.41974991 0.73170709 0.27187426 0.45904681 0.11344519
#>  [91] 0.78200585 0.15896797 0.88925498 0.42978017 0.39948310 0.96897458
#>  [97] 0.68049033 0.47866919 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    37    16    13    32   190   181   197   194    88    92   133   129    81 
#> 12.52  8.71 14.34 20.90 20.81 16.46 21.60 22.40 18.37 22.92 14.65 23.41 14.06 
#>    42   117   130 130.1  37.1   107    23    68   159   164    91    78    30 
#> 12.43 17.46 16.47 16.47 12.52 11.18 16.92 20.62 10.55 23.60  5.33 23.88 17.43 
#>   110    57    43  81.1   187    69    90    63   149 181.1   105  78.1    10 
#> 17.56 14.46 12.10 14.06  9.92 23.23 20.94 22.77  8.37 16.46 19.75 23.88 10.53 
#>   111  10.1   158    60   184    86  13.1    97   128   179   188  13.2   192 
#> 17.45 10.53 20.14 13.15 17.77 23.81 14.34 19.14 20.35 18.63 16.16 14.34 16.44 
#>   136 192.1   171    93    61  81.2   127  90.1 159.1   180  69.1    85  37.2 
#> 21.83 16.44 16.57 10.33 10.12 14.06  3.53 20.94 10.55 14.82 23.23 16.44 12.52 
#>   153 110.1  91.1   175   177 184.1   139 181.2  57.1    24  81.3 128.1  78.2 
#> 21.33 17.56  5.33 21.91 12.53 17.77 21.49 16.46 14.46 23.89 14.06 20.35 23.88 
#>   101  43.1   183 181.3    70 183.1   150   170  81.4 139.1     8 164.1   155 
#>  9.97 12.10  9.24 16.46  7.38  9.24 20.33 19.54 14.06 21.49 18.43 23.60 13.08 
#>  69.2    52  97.1   166    77  57.2 184.2   163    38    64   172   118   182 
#> 23.23 10.42 19.14 19.98  7.27 14.46 17.77 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   122     2   142    12   198   196   121    53 122.1     1 131.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    65   178   165   109   144 178.1   102   126 182.1  65.1   151   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1 118.1   174 109.1 102.2    19 109.2 119.1   120   193    35   185     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1   2.1    71 151.1 118.2   135  87.1   141    54   191  38.1    33   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62 109.3   173 182.2    84   176 118.3   147  65.2    21   112    20    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.3  20.1  65.4    80    94 122.2 165.1 185.1 191.1  54.1 191.2    98   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1  38.2  54.2 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[85]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01357167                0.96414671                0.55377533 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.66817125              0.01692842             -0.53438151 
#>   grade_iii, Cure model 
#>              0.57240781 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 15    22.68      1  48        0         0
#> 127    3.53      1  62        0         1
#> 133   14.65      1  57        0         0
#> 93    10.33      1  52        0         1
#> 117   17.46      1  26        0         1
#> 59    10.16      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 181   16.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 86    23.81      1  58        0         1
#> 96    14.54      1  33        0         1
#> 91     5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 85    16.44      1  36        0         0
#> 23    16.92      1  61        0         0
#> 86.1  23.81      1  58        0         1
#> 91.1   5.33      1  61        0         1
#> 45    17.42      1  54        0         1
#> 166   19.98      1  48        0         0
#> 101    9.97      1  10        0         1
#> 134   17.81      1  47        1         0
#> 158   20.14      1  74        1         0
#> 134.1 17.81      1  47        1         0
#> 124.1  9.73      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 86.2  23.81      1  58        0         1
#> 25     6.32      1  34        1         0
#> 194   22.40      1  38        0         1
#> 153   21.33      1  55        1         0
#> 124.2  9.73      1  NA        1         0
#> 5.1   16.43      1  51        0         1
#> 145   10.07      1  65        1         0
#> 93.1  10.33      1  52        0         1
#> 30    17.43      1  78        0         0
#> 150   20.33      1  48        0         0
#> 155   13.08      1  26        0         0
#> 187    9.92      1  39        1         0
#> 167   15.55      1  56        1         0
#> 37    12.52      1  57        1         0
#> 30.1  17.43      1  78        0         0
#> 169   22.41      1  46        0         0
#> 159   10.55      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 78    23.88      1  43        0         0
#> 154   12.63      1  20        1         0
#> 111   17.45      1  47        0         1
#> 197   21.60      1  69        1         0
#> 59.1  10.16      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 37.1  12.52      1  57        1         0
#> 136   21.83      1  43        0         1
#> 155.1 13.08      1  26        0         0
#> 25.1   6.32      1  34        1         0
#> 50    10.02      1  NA        1         0
#> 4.1   17.64      1  NA        0         1
#> 79    16.23      1  54        1         0
#> 23.1  16.92      1  61        0         0
#> 123   13.00      1  44        1         0
#> 128   20.35      1  35        0         1
#> 29    15.45      1  68        1         0
#> 99    21.19      1  38        0         1
#> 170   19.54      1  43        0         1
#> 60.1  13.15      1  38        1         0
#> 15.1  22.68      1  48        0         0
#> 51.1  18.23      1  83        0         1
#> 101.1  9.97      1  10        0         1
#> 150.1 20.33      1  48        0         0
#> 140   12.68      1  59        1         0
#> 77.1   7.27      1  67        0         1
#> 68    20.62      1  44        0         0
#> 184   17.77      1  38        0         0
#> 66    22.13      1  53        0         0
#> 50.1  10.02      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 55    19.34      1  69        0         1
#> 130   16.47      1  53        0         1
#> 105   19.75      1  60        0         0
#> 36    21.19      1  48        0         1
#> 14    12.89      1  21        0         0
#> 99.1  21.19      1  38        0         1
#> 85.1  16.44      1  36        0         0
#> 68.1  20.62      1  44        0         0
#> 188   16.16      1  46        0         1
#> 37.2  12.52      1  57        1         0
#> 60.2  13.15      1  38        1         0
#> 114   13.68      1  NA        0         0
#> 93.2  10.33      1  52        0         1
#> 101.2  9.97      1  10        0         1
#> 56    12.21      1  60        0         0
#> 50.2  10.02      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 106   16.67      1  49        1         0
#> 8     18.43      1  32        0         0
#> 88    18.37      1  47        0         0
#> 24    23.89      1  38        0         0
#> 113   22.86      1  34        0         0
#> 180   14.82      1  37        0         0
#> 125   15.65      1  67        1         0
#> 166.1 19.98      1  48        0         0
#> 127.1  3.53      1  62        0         1
#> 96.1  14.54      1  33        0         1
#> 110.1 17.56      1  65        0         1
#> 175   21.91      1  43        0         0
#> 136.1 21.83      1  43        0         1
#> 96.2  14.54      1  33        0         1
#> 58    19.34      1  39        0         0
#> 60.3  13.15      1  38        1         0
#> 13    14.34      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 188.1 16.16      1  46        0         1
#> 17    24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 53    24.00      0  32        0         1
#> 53.1  24.00      0  32        0         1
#> 172   24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 94    24.00      0  51        0         1
#> 87    24.00      0  27        0         0
#> 142.1 24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 82    24.00      0  34        0         0
#> 48    24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 20.1  24.00      0  46        1         0
#> 38    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 174   24.00      0  49        1         0
#> 19    24.00      0  57        0         1
#> 53.2  24.00      0  32        0         1
#> 137   24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 162   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 19.1  24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 48.1  24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 138   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 21    24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 137.1 24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 87.1  24.00      0  27        0         0
#> 162.1 24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 72    24.00      0  40        0         1
#> 132   24.00      0  55        0         0
#> 65    24.00      0  57        1         0
#> 118.1 24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 104   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 83    24.00      0   6        0         0
#> 186   24.00      0  45        1         0
#> 12.1  24.00      0  63        0         0
#> 103.1 24.00      0  56        1         0
#> 82.1  24.00      0  34        0         0
#> 176   24.00      0  43        0         1
#> 74.1  24.00      0  43        0         1
#> 3.1   24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 28    24.00      0  67        1         0
#> 141   24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 80    24.00      0  41        0         0
#> 87.2  24.00      0  27        0         0
#> 31    24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 3.2   24.00      0  31        1         0
#> 65.1  24.00      0  57        1         0
#> 20.2  24.00      0  46        1         0
#> 1     24.00      0  23        1         0
#> 19.2  24.00      0  57        0         1
#> 74.2  24.00      0  43        0         1
#> 163   24.00      0  66        0         0
#> 38.1  24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 82.2  24.00      0  34        0         0
#> 64    24.00      0  43        0         0
#> 74.3  24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 7.1   24.00      0  37        1         0
#> 152   24.00      0  36        0         1
#> 98    24.00      0  34        1         0
#> 178.1 24.00      0  52        1         0
#> 141.1 24.00      0  44        1         0
#> 165.1 24.00      0  47        0         0
#> 152.1 24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.668         NA        NA      NA
#> 2 age, Cure model           0.0169        NA        NA      NA
#> 3 grade_ii, Cure model     -0.534         NA        NA      NA
#> 4 grade_iii, Cure model     0.572         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0136        NA        NA      NA
#> 2 grade_ii, Survival model    0.964         NA        NA      NA
#> 3 grade_iii, Survival model   0.554         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.66817           0.01693          -0.53438           0.57241  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 246.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.66817125       0.01692842      -0.53438151       0.57240781 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01357167       0.96414671       0.55377533 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0365599537 0.9782808108 0.5787386933 0.8144150598 0.3403440875
#>   [6] 0.6368129702 0.4399168952 0.3192924635 0.9133882935 0.0105629294
#>  [11] 0.5905506746 0.9566815150 0.2674474835 0.4513396742 0.3945274259
#>  [16] 0.0105629294 0.9566815150 0.3834132741 0.1895538377 0.8699992718
#>  [21] 0.2884013055 0.1805220543 0.2884013055 0.4743405763 0.0105629294
#>  [26] 0.9351985162 0.0574016039 0.1061813076 0.4743405763 0.8588097993
#>  [31] 0.8144150598 0.3616092910 0.1629442606 0.6807682233 0.9024955966
#>  [36] 0.5438664476 0.7484059491 0.3616092910 0.0497769511 0.7921307574
#>  [41] 0.0044438601 0.7372701871 0.3509636877 0.0977385286 0.8476078587
#>  [46] 0.7484059491 0.0815456117 0.6807682233 0.9351985162 0.4974867168
#>  [51] 0.3945274259 0.7033327982 0.1543613058 0.5554658982 0.1144643249
#>  [56] 0.2176967745 0.6368129702 0.0365599537 0.2674474835 0.8699992718
#>  [61] 0.1629442606 0.7259638079 0.9133882935 0.1375986893 0.3087846554
#>  [66] 0.0649887116 0.0247069408 0.2273966925 0.4285105277 0.2080096015
#>  [71] 0.1144643249 0.7146260854 0.1144643249 0.4513396742 0.1375986893
#>  [76] 0.5091263446 0.7484059491 0.6368129702 0.8144150598 0.8699992718
#>  [81] 0.7810178264 0.8032620138 0.4171503055 0.2469793042 0.2571173386
#>  [86] 0.0008324962 0.0304191777 0.5670551605 0.5322107124 0.1895538377
#>  [91] 0.9782808108 0.5905506746 0.3192924635 0.0730596568 0.0815456117
#>  [96] 0.5905506746 0.2273966925 0.6368129702 0.6250564878 0.5091263446
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000
#> 
#> $Time
#>    15   127   133    93   117    60   181   110    77    86    96    91    51 
#> 22.68  3.53 14.65 10.33 17.46 13.15 16.46 17.56  7.27 23.81 14.54  5.33 18.23 
#>    85    23  86.1  91.1    45   166   101   134   158 134.1     5  86.2    25 
#> 16.44 16.92 23.81  5.33 17.42 19.98  9.97 17.81 20.14 17.81 16.43 23.81  6.32 
#>   194   153   5.1   145  93.1    30   150   155   187   167    37  30.1   169 
#> 22.40 21.33 16.43 10.07 10.33 17.43 20.33 13.08  9.92 15.55 12.52 17.43 22.41 
#>   159    78   154   111   197    61  37.1   136 155.1  25.1    79  23.1   123 
#> 10.55 23.88 12.63 17.45 21.60 10.12 12.52 21.83 13.08  6.32 16.23 16.92 13.00 
#>   128    29    99   170  60.1  15.1  51.1 101.1 150.1   140  77.1    68   184 
#> 20.35 15.45 21.19 19.54 13.15 22.68 18.23  9.97 20.33 12.68  7.27 20.62 17.77 
#>    66   129    55   130   105    36    14  99.1  85.1  68.1   188  37.2  60.2 
#> 22.13 23.41 19.34 16.47 19.75 21.19 12.89 21.19 16.44 20.62 16.16 12.52 13.15 
#>  93.2 101.2    56    52   106     8    88    24   113   180   125 166.1 127.1 
#> 10.33  9.97 12.21 10.42 16.67 18.43 18.37 23.89 22.86 14.82 15.65 19.98  3.53 
#>  96.1 110.1   175 136.1  96.2    58  60.3    13 188.1    17   165    53  53.1 
#> 14.54 17.56 21.91 21.83 14.54 19.34 13.15 14.34 16.16 24.00 24.00 24.00 24.00 
#>   172   142     3    74    94    87 142.1    84    82    48    20  20.1    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47   103   174    19  53.2   137    46   162   126  19.1     7  48.1   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178   138    22    21    95   147 137.1   118    27   185  87.1 162.1    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   132    65 118.1    12   104    11    83   186  12.1 103.1  82.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1   3.1     2    28   141  46.1   120    80  87.2    31   148   3.2  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.2     1  19.2  74.2   163  38.1   146  82.2    64  74.3   109   7.1   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98 178.1 141.1 165.1 152.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[86]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.02156463                0.60990729                0.45334879 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.76518109              0.01369916              0.08281942 
#>   grade_iii, Cure model 
#>              0.89876461 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 43    12.10      1  61        0         1
#> 195   11.76      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 149    8.37      1  33        1         0
#> 124    9.73      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 37    12.52      1  57        1         0
#> 76    19.22      1  54        0         1
#> 113   22.86      1  34        0         0
#> 183    9.24      1  67        1         0
#> 8     18.43      1  32        0         0
#> 36    21.19      1  48        0         1
#> 26    15.77      1  49        0         1
#> 52    10.42      1  52        0         1
#> 24    23.89      1  38        0         0
#> 55    19.34      1  69        0         1
#> 159   10.55      1  50        0         1
#> 155   13.08      1  26        0         0
#> 69    23.23      1  25        0         1
#> 159.1 10.55      1  50        0         1
#> 179   18.63      1  42        0         0
#> 197   21.60      1  69        1         0
#> 55.1  19.34      1  69        0         1
#> 59    10.16      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 23    16.92      1  61        0         0
#> 157   15.10      1  47        0         0
#> 78    23.88      1  43        0         0
#> 14    12.89      1  21        0         0
#> 159.2 10.55      1  50        0         1
#> 136   21.83      1  43        0         1
#> 111   17.45      1  47        0         1
#> 158   20.14      1  74        1         0
#> 181   16.46      1  45        0         1
#> 63    22.77      1  31        1         0
#> 88    18.37      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 42.1  12.43      1  49        0         1
#> 23.1  16.92      1  61        0         0
#> 167   15.55      1  56        1         0
#> 128   20.35      1  35        0         1
#> 155.1 13.08      1  26        0         0
#> 16     8.71      1  71        0         1
#> 24.1  23.89      1  38        0         0
#> 149.1  8.37      1  33        1         0
#> 93    10.33      1  52        0         1
#> 25     6.32      1  34        1         0
#> 127    3.53      1  62        0         1
#> 97    19.14      1  65        0         1
#> 32    20.90      1  37        1         0
#> 96    14.54      1  33        0         1
#> 125   15.65      1  67        1         0
#> 68    20.62      1  44        0         0
#> 133   14.65      1  57        0         0
#> 125.1 15.65      1  67        1         0
#> 111.1 17.45      1  47        0         1
#> 128.1 20.35      1  35        0         1
#> 41.1  18.02      1  40        1         0
#> 15    22.68      1  48        0         0
#> 107.1 11.18      1  54        1         0
#> 63.1  22.77      1  31        1         0
#> 26.1  15.77      1  49        0         1
#> 171   16.57      1  41        0         1
#> 195.1 11.76      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 90    20.94      1  50        0         1
#> 6     15.64      1  39        0         0
#> 166   19.98      1  48        0         0
#> 154   12.63      1  20        1         0
#> 40    18.00      1  28        1         0
#> 88.1  18.37      1  47        0         0
#> 37.1  12.52      1  57        1         0
#> 61    10.12      1  36        0         1
#> 30    17.43      1  78        0         0
#> 92    22.92      1  47        0         1
#> 77     7.27      1  67        0         1
#> 108   18.29      1  39        0         1
#> 177   12.53      1  75        0         0
#> 187    9.92      1  39        1         0
#> 88.2  18.37      1  47        0         0
#> 184   17.77      1  38        0         0
#> 68.1  20.62      1  44        0         0
#> 96.1  14.54      1  33        0         1
#> 49    12.19      1  48        1         0
#> 117   17.46      1  26        0         1
#> 78.1  23.88      1  43        0         0
#> 124.1  9.73      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 183.1  9.24      1  67        1         0
#> 96.2  14.54      1  33        0         1
#> 127.1  3.53      1  62        0         1
#> 190   20.81      1  42        1         0
#> 171.1 16.57      1  41        0         1
#> 96.3  14.54      1  33        0         1
#> 39    15.59      1  37        0         1
#> 81    14.06      1  34        0         0
#> 51    18.23      1  83        0         1
#> 167.1 15.55      1  56        1         0
#> 130   16.47      1  53        0         1
#> 188.1 16.16      1  46        0         1
#> 190.1 20.81      1  42        1         0
#> 107.2 11.18      1  54        1         0
#> 81.1  14.06      1  34        0         0
#> 69.1  23.23      1  25        0         1
#> 69.2  23.23      1  25        0         1
#> 199   19.81      1  NA        0         1
#> 90.1  20.94      1  50        0         1
#> 69.3  23.23      1  25        0         1
#> 15.1  22.68      1  48        0         0
#> 100   16.07      1  60        0         0
#> 63.2  22.77      1  31        1         0
#> 167.2 15.55      1  56        1         0
#> 87    24.00      0  27        0         0
#> 71    24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 174   24.00      0  49        1         0
#> 173   24.00      0  19        0         1
#> 137   24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 71.1  24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 83    24.00      0   6        0         0
#> 174.1 24.00      0  49        1         0
#> 144   24.00      0  28        0         1
#> 87.1  24.00      0  27        0         0
#> 19    24.00      0  57        0         1
#> 67    24.00      0  25        0         0
#> 95    24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 82    24.00      0  34        0         0
#> 20    24.00      0  46        1         0
#> 53.1  24.00      0  32        0         1
#> 132   24.00      0  55        0         0
#> 75    24.00      0  21        1         0
#> 116   24.00      0  58        0         1
#> 20.1  24.00      0  46        1         0
#> 118   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 120   24.00      0  68        0         1
#> 54    24.00      0  53        1         0
#> 156   24.00      0  50        1         0
#> 38    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 182.1 24.00      0  35        0         0
#> 80    24.00      0  41        0         0
#> 152.1 24.00      0  36        0         1
#> 38.1  24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 53.2  24.00      0  32        0         1
#> 9     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 2.1   24.00      0   9        0         0
#> 44    24.00      0  56        0         0
#> 83.1  24.00      0   6        0         0
#> 121   24.00      0  57        1         0
#> 147.1 24.00      0  76        1         0
#> 7     24.00      0  37        1         0
#> 200   24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 193.1 24.00      0  45        0         1
#> 173.1 24.00      0  19        0         1
#> 82.1  24.00      0  34        0         0
#> 135   24.00      0  58        1         0
#> 138   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 27.1  24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 182.2 24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 132.1 24.00      0  55        0         0
#> 7.1   24.00      0  37        1         0
#> 67.1  24.00      0  25        0         0
#> 19.1  24.00      0  57        0         1
#> 198   24.00      0  66        0         1
#> 71.2  24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 163   24.00      0  66        0         0
#> 120.1 24.00      0  68        0         1
#> 174.2 24.00      0  49        1         0
#> 126   24.00      0  48        0         0
#> 132.2 24.00      0  55        0         0
#> 82.2  24.00      0  34        0         0
#> 200.1 24.00      0  64        0         0
#> 142   24.00      0  53        0         0
#> 72.1  24.00      0  40        0         1
#> 7.2   24.00      0  37        1         0
#> 19.2  24.00      0  57        0         1
#> 21    24.00      0  47        0         0
#> 98    24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 160   24.00      0  31        1         0
#> 182.3 24.00      0  35        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.765         NA        NA      NA
#> 2 age, Cure model           0.0137        NA        NA      NA
#> 3 grade_ii, Cure model      0.0828        NA        NA      NA
#> 4 grade_iii, Cure model     0.899         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0216        NA        NA      NA
#> 2 grade_ii, Survival model    0.610         NA        NA      NA
#> 3 grade_iii, Survival model   0.453         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.76518           0.01370           0.08282           0.89876  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 254.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.76518109       0.01369916       0.08281942       0.89876461 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.02156463       0.60990729       0.45334879 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9508679 0.9536177 0.9863251 0.7938623 0.9366792 0.7456713 0.5125149
#>   [8] 0.9791902 0.7625674 0.6276826 0.8660401 0.9691740 0.2113506 0.7337283
#>  [15] 0.9615099 0.9215580 0.4045026 0.9615099 0.7570527 0.6164406 0.7337283
#>  [22] 0.9424399 0.8302051 0.8967977 0.3283860 0.9276374 0.9615099 0.6035134
#>  [29] 0.8171073 0.7133051 0.8506862 0.5319978 0.7680428 0.9424399 0.8302051
#>  [36] 0.8871552 0.6982990 0.9215580 0.9839689 0.2113506 0.9863251 0.9717098
#>  [43] 0.9932662 0.9955465 0.7514781 0.6570415 0.9031815 0.8733603 0.6824958
#>  [50] 0.9000033 0.8733603 0.8171073 0.6982990 0.7938623 0.5762137 0.9536177
#>  [57] 0.5319978 0.8660401 0.8385604 0.7270844 0.6382738 0.8802855 0.7202546
#>  [64] 0.9306764 0.8032665 0.7680428 0.9366792 0.9742206 0.8258984 0.4921966
#>  [71] 0.9909711 0.7837660 0.9336973 0.9767157 0.7680428 0.8079178 0.6824958
#>  [78] 0.9031815 0.9480789 0.8125354 0.3283860 0.8546259 0.9791902 0.9031815
#>  [85] 0.9955465 0.6660914 0.8385604 0.9031815 0.8837370 0.9154483 0.7889501
#>  [92] 0.8871552 0.8466882 0.8546259 0.6660914 0.9536177 0.9154483 0.4045026
#>  [99] 0.4045026 0.6382738 0.4045026 0.5762137 0.8622593 0.5319978 0.8871552
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    43   107   149    41    37    76   113   183     8    36    26    52    24 
#> 12.10 11.18  8.37 18.02 12.52 19.22 22.86  9.24 18.43 21.19 15.77 10.42 23.89 
#>    55   159   155    69 159.1   179   197  55.1    42    23   157    78    14 
#> 19.34 10.55 13.08 23.23 10.55 18.63 21.60 19.34 12.43 16.92 15.10 23.88 12.89 
#> 159.2   136   111   158   181    63    88  42.1  23.1   167   128 155.1    16 
#> 10.55 21.83 17.45 20.14 16.46 22.77 18.37 12.43 16.92 15.55 20.35 13.08  8.71 
#>  24.1 149.1    93    25   127    97    32    96   125    68   133 125.1 111.1 
#> 23.89  8.37 10.33  6.32  3.53 19.14 20.90 14.54 15.65 20.62 14.65 15.65 17.45 
#> 128.1  41.1    15 107.1  63.1  26.1   171   170    90     6   166   154    40 
#> 20.35 18.02 22.68 11.18 22.77 15.77 16.57 19.54 20.94 15.64 19.98 12.63 18.00 
#>  88.1  37.1    61    30    92    77   108   177   187  88.2   184  68.1  96.1 
#> 18.37 12.52 10.12 17.43 22.92  7.27 18.29 12.53  9.92 18.37 17.77 20.62 14.54 
#>    49   117  78.1   188 183.1  96.2 127.1   190 171.1  96.3    39    81    51 
#> 12.19 17.46 23.88 16.16  9.24 14.54  3.53 20.81 16.57 14.54 15.59 14.06 18.23 
#> 167.1   130 188.1 190.1 107.2  81.1  69.1  69.2  90.1  69.3  15.1   100  63.2 
#> 15.55 16.47 16.16 20.81 11.18 14.06 23.23 23.23 20.94 23.23 22.68 16.07 22.77 
#> 167.2    87    71   182   174   173   137    35    65  71.1   147    83 174.1 
#> 15.55 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144  87.1    19    67    95   102   178    53    82    20  53.1   132    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116  20.1   118   161   120    54   156    38   152 182.1    80 152.1  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109  53.2     9   193     2   172   2.1    44  83.1   121 147.1     7   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72 193.1 173.1  82.1   135   138   186    27  27.1   185 182.2    47    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1   7.1  67.1  19.1   198  71.2    22   163 120.1 174.2   126 132.2  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1   142  72.1   7.2  19.2    21    98   196   160 182.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[87]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002677435               0.114650151              -0.122104594 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.666656342             0.015312495             0.591804938 
#>   grade_iii, Cure model 
#>            -0.007923659 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 190   20.81      1  42        1         0
#> 199   19.81      1  NA        0         1
#> 190.1 20.81      1  42        1         0
#> 145   10.07      1  65        1         0
#> 170   19.54      1  43        0         1
#> 125   15.65      1  67        1         0
#> 79    16.23      1  54        1         0
#> 180   14.82      1  37        0         0
#> 155   13.08      1  26        0         0
#> 175   21.91      1  43        0         0
#> 153   21.33      1  55        1         0
#> 10    10.53      1  34        0         0
#> 58    19.34      1  39        0         0
#> 158   20.14      1  74        1         0
#> 199.1 19.81      1  NA        0         1
#> 10.1  10.53      1  34        0         0
#> 145.1 10.07      1  65        1         0
#> 158.1 20.14      1  74        1         0
#> 89    11.44      1  NA        0         0
#> 133   14.65      1  57        0         0
#> 58.1  19.34      1  39        0         0
#> 45    17.42      1  54        0         1
#> 166   19.98      1  48        0         0
#> 85    16.44      1  36        0         0
#> 111   17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 168   23.72      1  70        0         0
#> 15    22.68      1  48        0         0
#> 81    14.06      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 69    23.23      1  25        0         1
#> 180.1 14.82      1  37        0         0
#> 125.1 15.65      1  67        1         0
#> 55    19.34      1  69        0         1
#> 40    18.00      1  28        1         0
#> 10.2  10.53      1  34        0         0
#> 41    18.02      1  40        1         0
#> 55.1  19.34      1  69        0         1
#> 197   21.60      1  69        1         0
#> 90    20.94      1  50        0         1
#> 93    10.33      1  52        0         1
#> 171   16.57      1  41        0         1
#> 86    23.81      1  58        0         1
#> 124.1  9.73      1  NA        1         0
#> 190.2 20.81      1  42        1         0
#> 192   16.44      1  31        1         0
#> 175.1 21.91      1  43        0         0
#> 40.1  18.00      1  28        1         0
#> 70     7.38      1  30        1         0
#> 29    15.45      1  68        1         0
#> 190.3 20.81      1  42        1         0
#> 66    22.13      1  53        0         0
#> 39.1  15.59      1  37        0         1
#> 76    19.22      1  54        0         1
#> 55.2  19.34      1  69        0         1
#> 108.1 18.29      1  39        0         1
#> 52    10.42      1  52        0         1
#> 129   23.41      1  53        1         0
#> 157   15.10      1  47        0         0
#> 164   23.60      1  76        0         1
#> 69.1  23.23      1  25        0         1
#> 15.1  22.68      1  48        0         0
#> 40.2  18.00      1  28        1         0
#> 187    9.92      1  39        1         0
#> 45.1  17.42      1  54        0         1
#> 127    3.53      1  62        0         1
#> 68    20.62      1  44        0         0
#> 113   22.86      1  34        0         0
#> 45.2  17.42      1  54        0         1
#> 36    21.19      1  48        0         1
#> 100   16.07      1  60        0         0
#> 157.1 15.10      1  47        0         0
#> 91     5.33      1  61        0         1
#> 5     16.43      1  51        0         1
#> 194   22.40      1  38        0         1
#> 30    17.43      1  78        0         0
#> 76.1  19.22      1  54        0         1
#> 153.1 21.33      1  55        1         0
#> 124.2  9.73      1  NA        1         0
#> 10.3  10.53      1  34        0         0
#> 153.2 21.33      1  55        1         0
#> 51    18.23      1  83        0         1
#> 183.1  9.24      1  67        1         0
#> 36.1  21.19      1  48        0         1
#> 55.3  19.34      1  69        0         1
#> 45.3  17.42      1  54        0         1
#> 124.3  9.73      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 192.1 16.44      1  31        1         0
#> 130   16.47      1  53        0         1
#> 23    16.92      1  61        0         0
#> 145.2 10.07      1  65        1         0
#> 93.1  10.33      1  52        0         1
#> 63    22.77      1  31        1         0
#> 100.1 16.07      1  60        0         0
#> 149    8.37      1  33        1         0
#> 100.2 16.07      1  60        0         0
#> 167   15.55      1  56        1         0
#> 192.2 16.44      1  31        1         0
#> 130.1 16.47      1  53        0         1
#> 199.2 19.81      1  NA        0         1
#> 6     15.64      1  39        0         0
#> 128.1 20.35      1  35        0         1
#> 181   16.46      1  45        0         1
#> 187.1  9.92      1  39        1         0
#> 159   10.55      1  50        0         1
#> 58.2  19.34      1  39        0         0
#> 184   17.77      1  38        0         0
#> 89.1  11.44      1  NA        0         0
#> 83    24.00      0   6        0         0
#> 31    24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 1     24.00      0  23        1         0
#> 112   24.00      0  61        0         0
#> 120   24.00      0  68        0         1
#> 191   24.00      0  60        0         1
#> 9     24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 31.1  24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 120.1 24.00      0  68        0         1
#> 83.1  24.00      0   6        0         0
#> 64    24.00      0  43        0         0
#> 144   24.00      0  28        0         1
#> 148.1 24.00      0  61        1         0
#> 82    24.00      0  34        0         0
#> 95    24.00      0  68        0         1
#> 28    24.00      0  67        1         0
#> 191.1 24.00      0  60        0         1
#> 53    24.00      0  32        0         1
#> 94    24.00      0  51        0         1
#> 121   24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 143   24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 94.1  24.00      0  51        0         1
#> 80    24.00      0  41        0         0
#> 17.1  24.00      0  38        0         1
#> 71    24.00      0  51        0         0
#> 44.1  24.00      0  56        0         0
#> 84    24.00      0  39        0         1
#> 144.1 24.00      0  28        0         1
#> 115   24.00      0  NA        1         0
#> 148.2 24.00      0  61        1         0
#> 144.2 24.00      0  28        0         1
#> 144.3 24.00      0  28        0         1
#> 173   24.00      0  19        0         1
#> 12    24.00      0  63        0         0
#> 172.1 24.00      0  41        0         0
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 73    24.00      0  NA        0         1
#> 151   24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 115.1 24.00      0  NA        1         0
#> 109   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 131   24.00      0  66        0         0
#> 73.1  24.00      0  NA        0         1
#> 17.2  24.00      0  38        0         1
#> 103.1 24.00      0  56        1         0
#> 31.2  24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 193.1 24.00      0  45        0         1
#> 165.1 24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 112.1 24.00      0  61        0         0
#> 46    24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 64.1  24.00      0  43        0         0
#> 172.2 24.00      0  41        0         0
#> 17.3  24.00      0  38        0         1
#> 47    24.00      0  38        0         1
#> 116.1 24.00      0  58        0         1
#> 19    24.00      0  57        0         1
#> 82.1  24.00      0  34        0         0
#> 73.2  24.00      0  NA        0         1
#> 12.1  24.00      0  63        0         0
#> 72    24.00      0  40        0         1
#> 31.3  24.00      0  36        0         1
#> 31.4  24.00      0  36        0         1
#> 144.4 24.00      0  28        0         1
#> 94.2  24.00      0  51        0         1
#> 64.2  24.00      0  43        0         0
#> 9.1   24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 11    24.00      0  42        0         1
#> 152   24.00      0  36        0         1
#> 87    24.00      0  27        0         0
#> 198.1 24.00      0  66        0         1
#> 174   24.00      0  49        1         0
#> 82.2  24.00      0  34        0         0
#> 1.1   24.00      0  23        1         0
#> 132   24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.667          NA        NA      NA
#> 2 age, Cure model          0.0153         NA        NA      NA
#> 3 grade_ii, Cure model     0.592          NA        NA      NA
#> 4 grade_iii, Cure model   -0.00792        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00268        NA        NA      NA
#> 2 grade_ii, Survival model   0.115          NA        NA      NA
#> 3 grade_iii, Survival model -0.122          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.666656          0.015312          0.591805         -0.007924  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.5 
#> Residual Deviance: 249.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.666656342      0.015312495      0.591804938     -0.007923659 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002677435      0.114650151     -0.122104594 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.933566593 0.174477526 0.174477526 0.878748690 0.264256796 0.641549022
#>   [7] 0.599529558 0.737760602 0.781011096 0.095782754 0.122031268 0.802809891
#>  [13] 0.273769822 0.236363914 0.802809891 0.878748690 0.236363914 0.759279903
#>  [19] 0.273769822 0.455688559 0.254815579 0.547936457 0.435426039 0.356046751
#>  [25] 0.007678919 0.062035962 0.770138829 0.673417721 0.030157736 0.737760602
#>  [31] 0.641549022 0.273769822 0.395966586 0.802809891 0.385882354 0.273769822
#>  [37] 0.113011865 0.165178294 0.856781938 0.506146528 0.002051949 0.174477526
#>  [43] 0.547936457 0.095782754 0.395966586 0.966682209 0.705527151 0.174477526
#>  [49] 0.086927703 0.673417721 0.336517163 0.273769822 0.356046751 0.845792477
#>  [55] 0.022236949 0.716300379 0.014420606 0.030157736 0.062035962 0.395966586
#>  [61] 0.911562659 0.455688559 0.988862784 0.208812247 0.045218166 0.455688559
#>  [67] 0.147323988 0.610111563 0.716300379 0.977756878 0.588953062 0.078191053
#>  [73] 0.445535585 0.336517163 0.122031268 0.802809891 0.122031268 0.375796138
#>  [79] 0.933566593 0.147323988 0.273769822 0.455688559 0.218027557 0.547936457
#>  [85] 0.516563616 0.495773630 0.878748690 0.856781938 0.053646850 0.610111563
#>  [91] 0.955603109 0.610111563 0.694764640 0.547936457 0.516563616 0.662726124
#>  [97] 0.218027557 0.537380654 0.911562659 0.791893553 0.273769822 0.425367783
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   183   190 190.1   145   170   125    79   180   155   175   153    10    58 
#>  9.24 20.81 20.81 10.07 19.54 15.65 16.23 14.82 13.08 21.91 21.33 10.53 19.34 
#>   158  10.1 145.1 158.1   133  58.1    45   166    85   111   108   168    15 
#> 20.14 10.53 10.07 20.14 14.65 19.34 17.42 19.98 16.44 17.45 18.29 23.72 22.68 
#>    81    39    69 180.1 125.1    55    40  10.2    41  55.1   197    90    93 
#> 14.06 15.59 23.23 14.82 15.65 19.34 18.00 10.53 18.02 19.34 21.60 20.94 10.33 
#>   171    86 190.2   192 175.1  40.1    70    29 190.3    66  39.1    76  55.2 
#> 16.57 23.81 20.81 16.44 21.91 18.00  7.38 15.45 20.81 22.13 15.59 19.22 19.34 
#> 108.1    52   129   157   164  69.1  15.1  40.2   187  45.1   127    68   113 
#> 18.29 10.42 23.41 15.10 23.60 23.23 22.68 18.00  9.92 17.42  3.53 20.62 22.86 
#>  45.2    36   100 157.1    91     5   194    30  76.1 153.1  10.3 153.2    51 
#> 17.42 21.19 16.07 15.10  5.33 16.43 22.40 17.43 19.22 21.33 10.53 21.33 18.23 
#> 183.1  36.1  55.3  45.3   128 192.1   130    23 145.2  93.1    63 100.1   149 
#>  9.24 21.19 19.34 17.42 20.35 16.44 16.47 16.92 10.07 10.33 22.77 16.07  8.37 
#> 100.2   167 192.2 130.1     6 128.1   181 187.1   159  58.2   184    83    31 
#> 16.07 15.55 16.44 16.47 15.64 20.35 16.46  9.92 10.55 19.34 17.77 24.00 24.00 
#>   103    17     1   112   120   191     9   148  31.1    44 120.1  83.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144 148.1    82    95    28 191.1    53    94   121   172   143   165  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80  17.1    71  44.1    84 144.1 148.2 144.2 144.3   173    12 172.1   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   151   193   109    98   131  17.2 103.1  31.2   141   163 193.1 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 112.1    46   138   118  64.1 172.2  17.3    47 116.1    19  82.1  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72  31.3  31.4 144.4  94.2  64.2   9.1   198    11   152    87 198.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.2   1.1   132 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[88]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0102906                 0.7958995                 0.6904355 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.775991075             0.008595086             0.652666497 
#>   grade_iii, Cure model 
#>             1.294647605 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 78    23.88      1  43        0         0
#> 129   23.41      1  53        1         0
#> 177   12.53      1  75        0         0
#> 107   11.18      1  54        1         0
#> 111   17.45      1  47        0         1
#> 149    8.37      1  33        1         0
#> 154   12.63      1  20        1         0
#> 97    19.14      1  65        0         1
#> 106   16.67      1  49        1         0
#> 97.1  19.14      1  65        0         1
#> 153   21.33      1  55        1         0
#> 43    12.10      1  61        0         1
#> 39    15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 166   19.98      1  48        0         0
#> 171   16.57      1  41        0         1
#> 30    17.43      1  78        0         0
#> 63    22.77      1  31        1         0
#> 60    13.15      1  38        1         0
#> 61    10.12      1  36        0         1
#> 159   10.55      1  50        0         1
#> 93    10.33      1  52        0         1
#> 101    9.97      1  10        0         1
#> 6     15.64      1  39        0         0
#> 15    22.68      1  48        0         0
#> 164   23.60      1  76        0         1
#> 180   14.82      1  37        0         0
#> 58    19.34      1  39        0         0
#> 169   22.41      1  46        0         0
#> 13    14.34      1  54        0         1
#> 149.1  8.37      1  33        1         0
#> 92    22.92      1  47        0         1
#> 86    23.81      1  58        0         1
#> 66    22.13      1  53        0         0
#> 26    15.77      1  49        0         1
#> 58.1  19.34      1  39        0         0
#> 194   22.40      1  38        0         1
#> 101.1  9.97      1  10        0         1
#> 117   17.46      1  26        0         1
#> 108   18.29      1  39        0         1
#> 133   14.65      1  57        0         0
#> 76    19.22      1  54        0         1
#> 181   16.46      1  45        0         1
#> 164.1 23.60      1  76        0         1
#> 139   21.49      1  63        1         0
#> 29    15.45      1  68        1         0
#> 69    23.23      1  25        0         1
#> 190   20.81      1  42        1         0
#> 134   17.81      1  47        1         0
#> 187    9.92      1  39        1         0
#> 90    20.94      1  50        0         1
#> 179   18.63      1  42        0         0
#> 13.1  14.34      1  54        0         1
#> 49    12.19      1  48        1         0
#> 41    18.02      1  40        1         0
#> 30.1  17.43      1  78        0         0
#> 24    23.89      1  38        0         0
#> 195   11.76      1  NA        1         0
#> 108.1 18.29      1  39        0         1
#> 108.2 18.29      1  39        0         1
#> 168   23.72      1  70        0         0
#> 55    19.34      1  69        0         1
#> 192   16.44      1  31        1         0
#> 39.1  15.59      1  37        0         1
#> 179.1 18.63      1  42        0         0
#> 150   20.33      1  48        0         0
#> 24.1  23.89      1  38        0         0
#> 50    10.02      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 79    16.23      1  54        1         0
#> 6.1   15.64      1  39        0         0
#> 169.1 22.41      1  46        0         0
#> 79.1  16.23      1  54        1         0
#> 16     8.71      1  71        0         1
#> 10    10.53      1  34        0         0
#> 110   17.56      1  65        0         1
#> 24.2  23.89      1  38        0         0
#> 107.1 11.18      1  54        1         0
#> 164.2 23.60      1  76        0         1
#> 15.1  22.68      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 106.1 16.67      1  49        1         0
#> 8     18.43      1  32        0         0
#> 114   13.68      1  NA        0         0
#> 125   15.65      1  67        1         0
#> 88    18.37      1  47        0         0
#> 15.2  22.68      1  48        0         0
#> 37    12.52      1  57        1         0
#> 91     5.33      1  61        0         1
#> 105   19.75      1  60        0         0
#> 16.1   8.71      1  71        0         1
#> 52    10.42      1  52        0         1
#> 110.1 17.56      1  65        0         1
#> 123   13.00      1  44        1         0
#> 36    21.19      1  48        0         1
#> 26.1  15.77      1  49        0         1
#> 16.2   8.71      1  71        0         1
#> 88.1  18.37      1  47        0         0
#> 108.3 18.29      1  39        0         1
#> 16.3   8.71      1  71        0         1
#> 36.1  21.19      1  48        0         1
#> 129.1 23.41      1  53        1         0
#> 90.1  20.94      1  50        0         1
#> 45    17.42      1  54        0         1
#> 50.1  10.02      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 169.2 22.41      1  46        0         0
#> 101.2  9.97      1  10        0         1
#> 40    18.00      1  28        1         0
#> 36.2  21.19      1  48        0         1
#> 114.1 13.68      1  NA        0         0
#> 153.2 21.33      1  55        1         0
#> 21    24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 151   24.00      0  42        0         0
#> 163   24.00      0  66        0         0
#> 28    24.00      0  67        1         0
#> 95    24.00      0  68        0         1
#> 84    24.00      0  39        0         1
#> 98    24.00      0  34        1         0
#> 62    24.00      0  71        0         0
#> 12.1  24.00      0  63        0         0
#> 119   24.00      0  17        0         0
#> 143   24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 119.1 24.00      0  17        0         0
#> 11    24.00      0  42        0         1
#> 71    24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 71.1  24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 109   24.00      0  48        0         0
#> 185   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 163.1 24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 72    24.00      0  40        0         1
#> 67    24.00      0  25        0         0
#> 80    24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 62.1  24.00      0  71        0         0
#> 12.2  24.00      0  63        0         0
#> 71.2  24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 196   24.00      0  19        0         0
#> 33    24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 17    24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 22    24.00      0  52        1         0
#> 11.1  24.00      0  42        0         1
#> 165.1 24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 31.1  24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 121   24.00      0  57        1         0
#> 19    24.00      0  57        0         1
#> 119.2 24.00      0  17        0         0
#> 122   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 27.1  24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 119.3 24.00      0  17        0         0
#> 21.1  24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 35    24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 80.1  24.00      0  41        0         0
#> 71.3  24.00      0  51        0         0
#> 109.1 24.00      0  48        0         0
#> 137   24.00      0  45        1         0
#> 11.2  24.00      0  42        0         1
#> 174   24.00      0  49        1         0
#> 102.1 24.00      0  49        0         0
#> 71.4  24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 73.1  24.00      0  NA        0         1
#> 44    24.00      0  56        0         0
#> 94    24.00      0  51        0         1
#> 178   24.00      0  52        1         0
#> 22.1  24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 22.2  24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 2     24.00      0   9        0         0
#> 182   24.00      0  35        0         0
#> 142   24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 120   24.00      0  68        0         1
#> 121.1 24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.776          NA        NA      NA
#> 2 age, Cure model          0.00860        NA        NA      NA
#> 3 grade_ii, Cure model     0.653          NA        NA      NA
#> 4 grade_iii, Cure model    1.29           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0103        NA        NA      NA
#> 2 grade_ii, Survival model    0.796         NA        NA      NA
#> 3 grade_iii, Survival model   0.690         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.775991          0.008595          0.652666          1.294648  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 247.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.775991075      0.008595086      0.652666497      1.294647605 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0102906        0.7958995        0.6904355 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.02291401 0.08437572 0.80435726 0.84101904 0.54155407 0.97401312
#>   [7] 0.79521037 0.37450071 0.58016081 0.37450071 0.22127404 0.83188249
#>  [13] 0.70237769 0.61831263 0.31600967 0.59922599 0.55111557 0.12341429
#>  [19] 0.77670119 0.89537778 0.85908689 0.88631765 0.90440348 0.68367957
#>  [25] 0.13258895 0.05494356 0.73946568 0.33546797 0.16035854 0.75814829
#>  [31] 0.97401312 0.11380362 0.03331715 0.20035282 0.65579321 0.33546797
#>  [37] 0.19007750 0.90440348 0.53195365 0.44459519 0.74878113 0.36456925
#>  [43] 0.60878840 0.05494356 0.21085463 0.73018724 0.10400345 0.29702748
#>  [49] 0.50304145 0.93059072 0.27820153 0.39407820 0.75814829 0.82273944
#>  [55] 0.48336586 0.55111557 0.00522381 0.44459519 0.44459519 0.04343882
#>  [61] 0.33546797 0.61831263 0.70237769 0.39407820 0.30646128 0.00522381
#>  [67] 0.72089689 0.63712773 0.68367957 0.16035854 0.63712773 0.93936281
#>  [73] 0.86815040 0.51274526 0.00522381 0.84101904 0.05494356 0.13258895
#>  [79] 0.58016081 0.41400318 0.67435064 0.42415793 0.13258895 0.81356044
#>  [85] 0.99131560 0.32567187 0.93936281 0.87724192 0.51274526 0.78597808
#>  [91] 0.25008728 0.65579321 0.93936281 0.42415793 0.44459519 0.93936281
#>  [97] 0.25008728 0.08437572 0.27820153 0.57043954 0.22127404 0.16035854
#> [103] 0.90440348 0.49326855 0.25008728 0.22127404 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    78   129   177   107   111   149   154    97   106  97.1   153    43    39 
#> 23.88 23.41 12.53 11.18 17.45  8.37 12.63 19.14 16.67 19.14 21.33 12.10 15.59 
#>    85   166   171    30    63    60    61   159    93   101     6    15   164 
#> 16.44 19.98 16.57 17.43 22.77 13.15 10.12 10.55 10.33  9.97 15.64 22.68 23.60 
#>   180    58   169    13 149.1    92    86    66    26  58.1   194 101.1   117 
#> 14.82 19.34 22.41 14.34  8.37 22.92 23.81 22.13 15.77 19.34 22.40  9.97 17.46 
#>   108   133    76   181 164.1   139    29    69   190   134   187    90   179 
#> 18.29 14.65 19.22 16.46 23.60 21.49 15.45 23.23 20.81 17.81  9.92 20.94 18.63 
#>  13.1    49    41  30.1    24 108.1 108.2   168    55   192  39.1 179.1   150 
#> 14.34 12.19 18.02 17.43 23.89 18.29 18.29 23.72 19.34 16.44 15.59 18.63 20.33 
#>  24.1   167    79   6.1 169.1  79.1    16    10   110  24.2 107.1 164.2  15.1 
#> 23.89 15.55 16.23 15.64 22.41 16.23  8.71 10.53 17.56 23.89 11.18 23.60 22.68 
#> 106.1     8   125    88  15.2    37    91   105  16.1    52 110.1   123    36 
#> 16.67 18.43 15.65 18.37 22.68 12.52  5.33 19.75  8.71 10.42 17.56 13.00 21.19 
#>  26.1  16.2  88.1 108.3  16.3  36.1 129.1  90.1    45 153.1 169.2 101.2    40 
#> 15.77  8.71 18.37 18.29  8.71 21.19 23.41 20.94 17.42 21.33 22.41  9.97 18.00 
#>  36.2 153.2    21    12   151   163    28    95    84    98    62  12.1   119 
#> 21.19 21.33 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    31 119.1    11    71   200  71.1   112   109   185    27 163.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72    67    80   193     1  62.1  12.2  71.2   196    33   165   126    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162 112.1    22  11.1 165.1   118  31.1   161   121    19 119.2   122    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1   102 119.3  21.1    48    74    83    35     9    47  80.1  71.3 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137  11.2   174 102.1  71.4    44    94   178  22.1   160   152     3  22.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75     2   182   142    38  95.1   198   120 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[89]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0083317                 0.4156030                 0.2983315 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.1303984708           -0.0003928855            0.3795436948 
#>   grade_iii, Cure model 
#>            0.7016100816 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 114   13.68      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 68    20.62      1  44        0         0
#> 181   16.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 43    12.10      1  61        0         1
#> 190   20.81      1  42        1         0
#> 39    15.59      1  37        0         1
#> 26    15.77      1  49        0         1
#> 168   23.72      1  70        0         0
#> 93    10.33      1  52        0         1
#> 129   23.41      1  53        1         0
#> 10    10.53      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 58    19.34      1  39        0         0
#> 6     15.64      1  39        0         0
#> 4     17.64      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 14    12.89      1  21        0         0
#> 43.1  12.10      1  61        0         1
#> 133   14.65      1  57        0         0
#> 180   14.82      1  37        0         0
#> 15    22.68      1  48        0         0
#> 134   17.81      1  47        1         0
#> 158   20.14      1  74        1         0
#> 18    15.21      1  49        1         0
#> 55    19.34      1  69        0         1
#> 167   15.55      1  56        1         0
#> 14.1  12.89      1  21        0         0
#> 85    16.44      1  36        0         0
#> 117   17.46      1  26        0         1
#> 123   13.00      1  44        1         0
#> 92    22.92      1  47        0         1
#> 70     7.38      1  30        1         0
#> 76.1  19.22      1  54        0         1
#> 76.2  19.22      1  54        0         1
#> 42    12.43      1  49        0         1
#> 171   16.57      1  41        0         1
#> 89    11.44      1  NA        0         0
#> 18.1  15.21      1  49        1         0
#> 58.1  19.34      1  39        0         0
#> 63    22.77      1  31        1         0
#> 92.1  22.92      1  47        0         1
#> 10.1  10.53      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 96.1  14.54      1  33        0         1
#> 111   17.45      1  47        0         1
#> 110   17.56      1  65        0         1
#> 171.1 16.57      1  41        0         1
#> 76.3  19.22      1  54        0         1
#> 108   18.29      1  39        0         1
#> 56    12.21      1  60        0         0
#> 181.1 16.46      1  45        0         1
#> 168.1 23.72      1  70        0         0
#> 18.2  15.21      1  49        1         0
#> 107   11.18      1  54        1         0
#> 125   15.65      1  67        1         0
#> 124    9.73      1  NA        1         0
#> 124.1  9.73      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 85.1  16.44      1  36        0         0
#> 181.2 16.46      1  45        0         1
#> 134.1 17.81      1  47        1         0
#> 113   22.86      1  34        0         0
#> 181.3 16.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 101    9.97      1  10        0         1
#> 123.1 13.00      1  44        1         0
#> 88    18.37      1  47        0         0
#> 8     18.43      1  32        0         0
#> 124.2  9.73      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 188   16.16      1  46        0         1
#> 190.1 20.81      1  42        1         0
#> 167.1 15.55      1  56        1         0
#> 18.3  15.21      1  49        1         0
#> 57    14.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 157   15.10      1  47        0         0
#> 183    9.24      1  67        1         0
#> 159   10.55      1  50        0         1
#> 117.1 17.46      1  26        0         1
#> 88.1  18.37      1  47        0         0
#> 139   21.49      1  63        1         0
#> 61    10.12      1  36        0         1
#> 136.1 21.83      1  43        0         1
#> 167.2 15.55      1  56        1         0
#> 40    18.00      1  28        1         0
#> 145.2 10.07      1  65        1         0
#> 159.1 10.55      1  50        0         1
#> 18.4  15.21      1  49        1         0
#> 145.3 10.07      1  65        1         0
#> 8.1   18.43      1  32        0         0
#> 106   16.67      1  49        1         0
#> 117.2 17.46      1  26        0         1
#> 15.1  22.68      1  48        0         0
#> 63.1  22.77      1  31        1         0
#> 107.1 11.18      1  54        1         0
#> 177   12.53      1  75        0         0
#> 100   16.07      1  60        0         0
#> 110.1 17.56      1  65        0         1
#> 56.1  12.21      1  60        0         0
#> 76.4  19.22      1  54        0         1
#> 166   19.98      1  48        0         0
#> 96.2  14.54      1  33        0         1
#> 23    16.92      1  61        0         0
#> 76.5  19.22      1  54        0         1
#> 154.1 12.63      1  20        1         0
#> 57.1  14.46      1  45        0         1
#> 106.1 16.67      1  49        1         0
#> 100.1 16.07      1  60        0         0
#> 174   24.00      0  49        1         0
#> 178   24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 151   24.00      0  42        0         0
#> 71    24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 12    24.00      0  63        0         0
#> 144   24.00      0  28        0         1
#> 186   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 95    24.00      0  68        0         1
#> 176.1 24.00      0  43        0         1
#> 95.1  24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 19    24.00      0  57        0         1
#> 115   24.00      0  NA        1         0
#> 73    24.00      0  NA        0         1
#> 11    24.00      0  42        0         1
#> 20    24.00      0  46        1         0
#> 82    24.00      0  34        0         0
#> 104   24.00      0  50        1         0
#> 156   24.00      0  50        1         0
#> 21    24.00      0  47        0         0
#> 185   24.00      0  44        1         0
#> 11.1  24.00      0  42        0         1
#> 144.1 24.00      0  28        0         1
#> 161   24.00      0  45        0         0
#> 47    24.00      0  38        0         1
#> 47.1  24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 47.2  24.00      0  38        0         1
#> 54    24.00      0  53        1         0
#> 146   24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 185.1 24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 62    24.00      0  71        0         0
#> 3     24.00      0  31        1         0
#> 21.1  24.00      0  47        0         0
#> 71.1  24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 152   24.00      0  36        0         1
#> 151.1 24.00      0  42        0         0
#> 104.1 24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 104.2 24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 48    24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 185.2 24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 34    24.00      0  36        0         0
#> 47.3  24.00      0  38        0         1
#> 34.1  24.00      0  36        0         0
#> 48.1  24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 12.1  24.00      0  63        0         0
#> 95.2  24.00      0  68        0         1
#> 35.1  24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 12.2  24.00      0  63        0         0
#> 1     24.00      0  23        1         0
#> 116   24.00      0  58        0         1
#> 104.3 24.00      0  50        1         0
#> 9.1   24.00      0  31        1         0
#> 21.2  24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 174.1 24.00      0  49        1         0
#> 28    24.00      0  67        1         0
#> 33    24.00      0  53        0         0
#> 142.1 24.00      0  53        0         0
#> 200.1 24.00      0  64        0         0
#> 144.2 24.00      0  28        0         1
#> 72.1  24.00      0  40        0         1
#> 12.3  24.00      0  63        0         0
#> 44    24.00      0  56        0         0
#> 44.1  24.00      0  56        0         0
#> 172.1 24.00      0  41        0         0
#> 19.1  24.00      0  57        0         1
#> 64    24.00      0  43        0         0
#> 44.2  24.00      0  56        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.130           NA        NA      NA
#> 2 age, Cure model         -0.000393        NA        NA      NA
#> 3 grade_ii, Cure model     0.380           NA        NA      NA
#> 4 grade_iii, Cure model    0.702           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00833        NA        NA      NA
#> 2 grade_ii, Survival model   0.416          NA        NA      NA
#> 3 grade_iii, Survival model  0.298          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.1303985        -0.0003929         0.3795437         0.7016101  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 259 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.1303984708    -0.0003928855     0.3795436948     0.7016100816 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0083317        0.4156030        0.2983315 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.180335562 0.111470273 0.413610672 0.925391154 0.819335115 0.095867223
#>   [7] 0.532395492 0.501727496 0.002131682 0.903950536 0.012790573 0.882668922
#>  [13] 0.777471655 0.154010485 0.522126668 0.653663047 0.725714125 0.819335115
#>  [19] 0.643247114 0.632894559 0.056713413 0.288512695 0.136395458 0.572983513
#>  [25] 0.154010485 0.542666282 0.725714125 0.451841931 0.326878203 0.705063076
#>  [31] 0.020636271 0.989262801 0.180335562 0.180335562 0.787907245 0.394168647
#>  [37] 0.572983513 0.154010485 0.042630179 0.020636271 0.882668922 0.111470273
#>  [43] 0.653663047 0.355205279 0.307566145 0.394168647 0.180335562 0.269034634
#>  [49] 0.798357244 0.413610672 0.002131682 0.572983513 0.840415199 0.511913573
#>  [55] 0.072067998 0.451841931 0.413610672 0.288512695 0.034406176 0.413610672
#>  [61] 0.746459966 0.967762031 0.705063076 0.249861617 0.231154196 0.925391154
#>  [67] 0.471601495 0.095867223 0.542666282 0.572983513 0.684381646 0.127776546
#>  [73] 0.622586736 0.978504566 0.861513158 0.326878203 0.249861617 0.087627583
#>  [79] 0.914670743 0.072067998 0.542666282 0.278807662 0.925391154 0.861513158
#>  [85] 0.572983513 0.925391154 0.231154196 0.374767330 0.326878203 0.056713413
#>  [91] 0.042630179 0.840415199 0.767044126 0.481604243 0.307566145 0.798357244
#>  [97] 0.180335562 0.145114823 0.653663047 0.364934075 0.180335562 0.746459966
#> [103] 0.684381646 0.374767330 0.481604243 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    76    68   181   145    43   190    39    26   168    93   129    10    37 
#> 19.22 20.62 16.46 10.07 12.10 20.81 15.59 15.77 23.72 10.33 23.41 10.53 12.52 
#>    58     6    96    14  43.1   133   180    15   134   158    18    55   167 
#> 19.34 15.64 14.54 12.89 12.10 14.65 14.82 22.68 17.81 20.14 15.21 19.34 15.55 
#>  14.1    85   117   123    92    70  76.1  76.2    42   171  18.1  58.1    63 
#> 12.89 16.44 17.46 13.00 22.92  7.38 19.22 19.22 12.43 16.57 15.21 19.34 22.77 
#>  92.1  10.1  68.1  96.1   111   110 171.1  76.3   108    56 181.1 168.1  18.2 
#> 22.92 10.53 20.62 14.54 17.45 17.56 16.57 19.22 18.29 12.21 16.46 23.72 15.21 
#>   107   125   136  85.1 181.2 134.1   113 181.3   154   101 123.1    88     8 
#> 11.18 15.65 21.83 16.44 16.46 17.81 22.86 16.46 12.63  9.97 13.00 18.37 18.43 
#> 145.1   188 190.1 167.1  18.3    57   150   157   183   159 117.1  88.1   139 
#> 10.07 16.16 20.81 15.55 15.21 14.46 20.33 15.10  9.24 10.55 17.46 18.37 21.49 
#>    61 136.1 167.2    40 145.2 159.1  18.4 145.3   8.1   106 117.2  15.1  63.1 
#> 10.12 21.83 15.55 18.00 10.07 10.55 15.21 10.07 18.43 16.67 17.46 22.68 22.77 
#> 107.1   177   100 110.1  56.1  76.4   166  96.2    23  76.5 154.1  57.1 106.1 
#> 11.18 12.53 16.07 17.56 12.21 19.22 19.98 14.54 16.92 19.22 12.63 14.46 16.67 
#> 100.1   174   178   176    53   151    71    74    67    12   144   186    65 
#> 16.07 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 176.1  95.1   141   200    19    11    20    82   104   156    21   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1 144.1   161    47  47.1    35  47.2    54   146   163   160 185.1    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62     3  21.1  71.1   102   152 151.1 104.1     9   172 104.2   142    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 185.2    22   198    34  47.3  34.1  48.1   162     7  12.1  95.2  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126  12.2     1   116 104.3   9.1  21.2   131 174.1    28    33 142.1 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.2  72.1  12.3    44  44.1 172.1  19.1    64  44.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[90]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01593608                0.26045210                0.18610645 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.500131991             0.009433454            -0.055129747 
#>   grade_iii, Cure model 
#>             0.927075559 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 125   15.65      1  67        1         0
#> 49    12.19      1  48        1         0
#> 15    22.68      1  48        0         0
#> 180   14.82      1  37        0         0
#> 154   12.63      1  20        1         0
#> 195   11.76      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 124    9.73      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 123   13.00      1  44        1         0
#> 134   17.81      1  47        1         0
#> 42    12.43      1  49        0         1
#> 159   10.55      1  50        0         1
#> 89    11.44      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 30    17.43      1  78        0         0
#> 140   12.68      1  59        1         0
#> 81    14.06      1  34        0         0
#> 45    17.42      1  54        0         1
#> 93    10.33      1  52        0         1
#> 183    9.24      1  67        1         0
#> 77     7.27      1  67        0         1
#> 8     18.43      1  32        0         0
#> 14    12.89      1  21        0         0
#> 188   16.16      1  46        0         1
#> 129   23.41      1  53        1         0
#> 130   16.47      1  53        0         1
#> 197   21.60      1  69        1         0
#> 154.1 12.63      1  20        1         0
#> 14.1  12.89      1  21        0         0
#> 43    12.10      1  61        0         1
#> 58    19.34      1  39        0         0
#> 6     15.64      1  39        0         0
#> 57    14.46      1  45        0         1
#> 88    18.37      1  47        0         0
#> 133.1 14.65      1  57        0         0
#> 14.2  12.89      1  21        0         0
#> 101    9.97      1  10        0         1
#> 145   10.07      1  65        1         0
#> 169   22.41      1  46        0         0
#> 43.1  12.10      1  61        0         1
#> 187    9.92      1  39        1         0
#> 97    19.14      1  65        0         1
#> 88.1  18.37      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 49.1  12.19      1  48        1         0
#> 110   17.56      1  65        0         1
#> 171   16.57      1  41        0         1
#> 69    23.23      1  25        0         1
#> 189   10.51      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 86    23.81      1  58        0         1
#> 184   17.77      1  38        0         0
#> 110.1 17.56      1  65        0         1
#> 36    21.19      1  48        0         1
#> 195.1 11.76      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 52    10.42      1  52        0         1
#> 129.1 23.41      1  53        1         0
#> 169.1 22.41      1  46        0         0
#> 107   11.18      1  54        1         0
#> 123.1 13.00      1  44        1         0
#> 113.1 22.86      1  34        0         0
#> 100   16.07      1  60        0         0
#> 188.1 16.16      1  46        0         1
#> 105   19.75      1  60        0         0
#> 181   16.46      1  45        0         1
#> 105.1 19.75      1  60        0         0
#> 93.1  10.33      1  52        0         1
#> 99.1  21.19      1  38        0         1
#> 40    18.00      1  28        1         0
#> 183.1  9.24      1  67        1         0
#> 45.1  17.42      1  54        0         1
#> 129.2 23.41      1  53        1         0
#> 93.2  10.33      1  52        0         1
#> 6.1   15.64      1  39        0         0
#> 111   17.45      1  47        0         1
#> 164   23.60      1  76        0         1
#> 56    12.21      1  60        0         0
#> 184.1 17.77      1  38        0         0
#> 55    19.34      1  69        0         1
#> 107.1 11.18      1  54        1         0
#> 77.1   7.27      1  67        0         1
#> 187.1  9.92      1  39        1         0
#> 16     8.71      1  71        0         1
#> 140.1 12.68      1  59        1         0
#> 70     7.38      1  30        1         0
#> 101.1  9.97      1  10        0         1
#> 129.3 23.41      1  53        1         0
#> 59    10.16      1  NA        1         0
#> 105.2 19.75      1  60        0         0
#> 57.1  14.46      1  45        0         1
#> 101.2  9.97      1  10        0         1
#> 129.4 23.41      1  53        1         0
#> 36.1  21.19      1  48        0         1
#> 155   13.08      1  26        0         0
#> 99.2  21.19      1  38        0         1
#> 14.3  12.89      1  21        0         0
#> 86.1  23.81      1  58        0         1
#> 127    3.53      1  62        0         1
#> 81.1  14.06      1  34        0         0
#> 101.3  9.97      1  10        0         1
#> 154.2 12.63      1  20        1         0
#> 180.1 14.82      1  37        0         0
#> 25     6.32      1  34        1         0
#> 107.2 11.18      1  54        1         0
#> 197.1 21.60      1  69        1         0
#> 45.2  17.42      1  54        0         1
#> 5     16.43      1  51        0         1
#> 195.2 11.76      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 144   24.00      0  28        0         1
#> 119   24.00      0  17        0         0
#> 160   24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 3     24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 103   24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 73    24.00      0  NA        0         1
#> 38    24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 53    24.00      0  32        0         1
#> 22    24.00      0  52        1         0
#> 152.1 24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 22.1  24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 161   24.00      0  45        0         0
#> 11    24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 186.1 24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 186.2 24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 200.1 24.00      0  64        0         0
#> 104   24.00      0  50        1         0
#> 27.1  24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 104.1 24.00      0  50        1         0
#> 82    24.00      0  34        0         0
#> 198   24.00      0  66        0         1
#> 34    24.00      0  36        0         0
#> 44    24.00      0  56        0         0
#> 165.1 24.00      0  47        0         0
#> 144.1 24.00      0  28        0         1
#> 121   24.00      0  57        1         0
#> 72.1  24.00      0  40        0         1
#> 135   24.00      0  58        1         0
#> 176   24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 34.1  24.00      0  36        0         0
#> 200.2 24.00      0  64        0         0
#> 102   24.00      0  49        0         0
#> 182   24.00      0  35        0         0
#> 152.2 24.00      0  36        0         1
#> 186.3 24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 9     24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 161.1 24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 143   24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 20    24.00      0  46        1         0
#> 115   24.00      0  NA        1         0
#> 119.1 24.00      0  17        0         0
#> 65    24.00      0  57        1         0
#> 115.1 24.00      0  NA        1         0
#> 186.4 24.00      0  45        1         0
#> 11.1  24.00      0  42        0         1
#> 156   24.00      0  50        1         0
#> 53.1  24.00      0  32        0         1
#> 160.1 24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 163   24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 104.2 24.00      0  50        1         0
#> 119.2 24.00      0  17        0         0
#> 20.1  24.00      0  46        1         0
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 182.1 24.00      0  35        0         0
#> 82.1  24.00      0  34        0         0
#> 71    24.00      0  51        0         0
#> 161.2 24.00      0  45        0         0
#> 21    24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 172   24.00      0  41        0         0
#> 148.1 24.00      0  61        1         0
#> 11.2  24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.500          NA        NA      NA
#> 2 age, Cure model          0.00943        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0551         NA        NA      NA
#> 4 grade_iii, Cure model    0.927          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0159        NA        NA      NA
#> 2 grade_ii, Survival model    0.260         NA        NA      NA
#> 3 grade_iii, Survival model   0.186         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.500132          0.009433         -0.055130          0.927076  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 250.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.500131991      0.009433454     -0.055129747      0.927075559 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01593608       0.26045210       0.18610645 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2645093279 0.5736996734 0.0176352607 0.2953091564 0.4954319163
#>   [6] 0.3166120423 0.5335114607 0.3970698018 0.1214892110 0.5467442073
#>  [11] 0.6719341559 0.0527142233 0.1656826142 0.4698225685 0.3616167011
#>  [16] 0.1738640784 0.7015815204 0.8532017903 0.9170717556 0.0952586349
#>  [21] 0.4212690452 0.2355011467 0.0030597111 0.2078084240 0.0268277505
#>  [26] 0.4954319163 0.4212690452 0.6010402331 0.0721079144 0.2746698643
#>  [31] 0.3388064004 0.1015847554 0.3166120423 0.4212690452 0.7621862023
#>  [36] 0.7466711967 0.0205488262 0.6010402331 0.8222508322 0.0890960903
#>  [41] 0.1015847554 0.0126881237 0.5736996734 0.1426844760 0.1989298569
#>  [46] 0.0103507185 0.0340736733 0.0001765023 0.1284525611 0.1426844760
#>  [51] 0.0340736733 0.9663747821 0.6866819860 0.0030597111 0.0205488262
#>  [56] 0.6290750675 0.3970698018 0.0126881237 0.2545605005 0.2355011467
#>  [61] 0.0573258285 0.2168738554 0.0573258285 0.7015815204 0.0340736733
#>  [66] 0.1146768314 0.8532017903 0.1738640784 0.0030597111 0.7015815204
#>  [71] 0.2746698643 0.1577788583 0.0014300594 0.5601221166 0.1284525611
#>  [76] 0.0721079144 0.6290750675 0.9170717556 0.8222508322 0.8847874976
#>  [81] 0.4698225685 0.9009013401 0.7621862023 0.0030597111 0.0573258285
#>  [86] 0.3388064004 0.7621862023 0.0030597111 0.0340736733 0.3850455053
#>  [91] 0.0340736733 0.4212690452 0.0001765023 0.9831081020 0.3616167011
#>  [96] 0.7621862023 0.4954319163 0.2953091564 0.9497977117 0.6290750675
#> [101] 0.0268277505 0.1738640784 0.2260981772 0.0831683314 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   125    49    15   180   154   133   177   123   134    42   159   166    30 
#> 15.65 12.19 22.68 14.82 12.63 14.65 12.53 13.00 17.81 12.43 10.55 19.98 17.43 
#>   140    81    45    93   183    77     8    14   188   129   130   197 154.1 
#> 12.68 14.06 17.42 10.33  9.24  7.27 18.43 12.89 16.16 23.41 16.47 21.60 12.63 
#>  14.1    43    58     6    57    88 133.1  14.2   101   145   169  43.1   187 
#> 12.89 12.10 19.34 15.64 14.46 18.37 14.65 12.89  9.97 10.07 22.41 12.10  9.92 
#>    97  88.1   113  49.1   110   171    69    99    86   184 110.1    36    91 
#> 19.14 18.37 22.86 12.19 17.56 16.57 23.23 21.19 23.81 17.77 17.56 21.19  5.33 
#>    52 129.1 169.1   107 123.1 113.1   100 188.1   105   181 105.1  93.1  99.1 
#> 10.42 23.41 22.41 11.18 13.00 22.86 16.07 16.16 19.75 16.46 19.75 10.33 21.19 
#>    40 183.1  45.1 129.2  93.2   6.1   111   164    56 184.1    55 107.1  77.1 
#> 18.00  9.24 17.42 23.41 10.33 15.64 17.45 23.60 12.21 17.77 19.34 11.18  7.27 
#> 187.1    16 140.1    70 101.1 129.3 105.2  57.1 101.2 129.4  36.1   155  99.2 
#>  9.92  8.71 12.68  7.38  9.97 23.41 19.75 14.46  9.97 23.41 21.19 13.08 21.19 
#>  14.3  86.1   127  81.1 101.3 154.2 180.1    25 107.2 197.1  45.2     5    76 
#> 12.89 23.81  3.53 14.06  9.97 12.63 14.82  6.32 11.18 21.60 17.42 16.43 19.22 
#>   144   119   160   116     3   186   151   103   152    38   165    83    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22 152.1    27  22.1   174   161    11   146    72 186.1    35   109 186.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   200 200.1   104  27.1     2 104.1    82   198    34    44 165.1 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121  72.1   135   176    12  34.1 200.2   102   182 152.2 186.3   131   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   162 161.1    75   143   193    20 119.1    65 186.4  11.1   156  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1 135.1   163    80 104.2 119.2  20.1    87    62    28 182.1  82.1    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.2    21   148   172 148.1  11.2    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[91]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002632936               0.403948256               0.316171230 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.191107026             0.001414046            -0.131759074 
#>   grade_iii, Cure model 
#>             1.124805197 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 140   12.68      1  59        1         0
#> 188   16.16      1  46        0         1
#> 111   17.45      1  47        0         1
#> 159   10.55      1  50        0         1
#> 5     16.43      1  51        0         1
#> 110   17.56      1  65        0         1
#> 56    12.21      1  60        0         0
#> 55    19.34      1  69        0         1
#> 169   22.41      1  46        0         0
#> 125   15.65      1  67        1         0
#> 169.1 22.41      1  46        0         0
#> 42    12.43      1  49        0         1
#> 184   17.77      1  38        0         0
#> 179   18.63      1  42        0         0
#> 55.1  19.34      1  69        0         1
#> 170   19.54      1  43        0         1
#> 194   22.40      1  38        0         1
#> 10    10.53      1  34        0         0
#> 5.1   16.43      1  51        0         1
#> 106   16.67      1  49        1         0
#> 60    13.15      1  38        1         0
#> 90    20.94      1  50        0         1
#> 90.1  20.94      1  50        0         1
#> 180   14.82      1  37        0         0
#> 188.1 16.16      1  46        0         1
#> 90.2  20.94      1  50        0         1
#> 107   11.18      1  54        1         0
#> 175   21.91      1  43        0         0
#> 51    18.23      1  83        0         1
#> 105   19.75      1  60        0         0
#> 63    22.77      1  31        1         0
#> 159.1 10.55      1  50        0         1
#> 61    10.12      1  36        0         1
#> 183    9.24      1  67        1         0
#> 60.1  13.15      1  38        1         0
#> 26    15.77      1  49        0         1
#> 177   12.53      1  75        0         0
#> 164   23.60      1  76        0         1
#> 15    22.68      1  48        0         0
#> 187    9.92      1  39        1         0
#> 100   16.07      1  60        0         0
#> 99    21.19      1  38        0         1
#> 167   15.55      1  56        1         0
#> 6     15.64      1  39        0         0
#> 39    15.59      1  37        0         1
#> 168   23.72      1  70        0         0
#> 190   20.81      1  42        1         0
#> 169.2 22.41      1  46        0         0
#> 159.2 10.55      1  50        0         1
#> 117   17.46      1  26        0         1
#> 91     5.33      1  61        0         1
#> 124    9.73      1  NA        1         0
#> 159.3 10.55      1  50        0         1
#> 40    18.00      1  28        1         0
#> 111.1 17.45      1  47        0         1
#> 93    10.33      1  52        0         1
#> 42.1  12.43      1  49        0         1
#> 99.1  21.19      1  38        0         1
#> 111.2 17.45      1  47        0         1
#> 93.1  10.33      1  52        0         1
#> 113   22.86      1  34        0         0
#> 155   13.08      1  26        0         0
#> 108   18.29      1  39        0         1
#> 133   14.65      1  57        0         0
#> 52    10.42      1  52        0         1
#> 189   10.51      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 195   11.76      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 111.3 17.45      1  47        0         1
#> 136   21.83      1  43        0         1
#> 41    18.02      1  40        1         0
#> 32    20.90      1  37        1         0
#> 129   23.41      1  53        1         0
#> 134   17.81      1  47        1         0
#> 154   12.63      1  20        1         0
#> 188.2 16.16      1  46        0         1
#> 184.1 17.77      1  38        0         0
#> 63.1  22.77      1  31        1         0
#> 26.1  15.77      1  49        0         1
#> 145   10.07      1  65        1         0
#> 76    19.22      1  54        0         1
#> 6.1   15.64      1  39        0         0
#> 133.1 14.65      1  57        0         0
#> 4     17.64      1  NA        0         1
#> 175.1 21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 133.2 14.65      1  57        0         0
#> 114   13.68      1  NA        0         0
#> 111.4 17.45      1  47        0         1
#> 128   20.35      1  35        0         1
#> 123   13.00      1  44        1         0
#> 153   21.33      1  55        1         0
#> 184.2 17.77      1  38        0         0
#> 43    12.10      1  61        0         1
#> 108.1 18.29      1  39        0         1
#> 18    15.21      1  49        1         0
#> 192   16.44      1  31        1         0
#> 179.1 18.63      1  42        0         0
#> 25     6.32      1  34        1         0
#> 60.2  13.15      1  38        1         0
#> 155.1 13.08      1  26        0         0
#> 32.1  20.90      1  37        1         0
#> 70     7.38      1  30        1         0
#> 180.1 14.82      1  37        0         0
#> 81    14.06      1  34        0         0
#> 114.1 13.68      1  NA        0         0
#> 16     8.71      1  71        0         1
#> 164.1 23.60      1  76        0         1
#> 16.1   8.71      1  71        0         1
#> 133.3 14.65      1  57        0         0
#> 108.2 18.29      1  39        0         1
#> 119   24.00      0  17        0         0
#> 112   24.00      0  61        0         0
#> 160   24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 200   24.00      0  64        0         0
#> 135   24.00      0  58        1         0
#> 17    24.00      0  38        0         1
#> 174.1 24.00      0  49        1         0
#> 186   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 172   24.00      0  41        0         0
#> 17.1  24.00      0  38        0         1
#> 135.1 24.00      0  58        1         0
#> 156   24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 138   24.00      0  44        1         0
#> 17.2  24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 146   24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 116.1 24.00      0  58        0         1
#> 65    24.00      0  57        1         0
#> 44    24.00      0  56        0         0
#> 115   24.00      0  NA        1         0
#> 21    24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 131   24.00      0  66        0         0
#> 200.1 24.00      0  64        0         0
#> 38    24.00      0  31        1         0
#> 65.1  24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 137   24.00      0  45        1         0
#> 9.1   24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 143   24.00      0  51        0         0
#> 9.2   24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 141   24.00      0  44        1         0
#> 119.1 24.00      0  17        0         0
#> 83    24.00      0   6        0         0
#> 112.1 24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 132   24.00      0  55        0         0
#> 19.1  24.00      0  57        0         1
#> 67    24.00      0  25        0         0
#> 44.1  24.00      0  56        0         0
#> 80    24.00      0  41        0         0
#> 65.2  24.00      0  57        1         0
#> 17.3  24.00      0  38        0         1
#> 31    24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 44.2  24.00      0  56        0         0
#> 174.2 24.00      0  49        1         0
#> 156.1 24.00      0  50        1         0
#> 84    24.00      0  39        0         1
#> 38.1  24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 44.3  24.00      0  56        0         0
#> 38.2  24.00      0  31        1         0
#> 200.2 24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 119.2 24.00      0  17        0         0
#> 19.2  24.00      0  57        0         1
#> 137.1 24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 174.3 24.00      0  49        1         0
#> 53    24.00      0  32        0         1
#> 135.2 24.00      0  58        1         0
#> 126   24.00      0  48        0         0
#> 109   24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 132.1 24.00      0  55        0         0
#> 21.1  24.00      0  47        0         0
#> 200.3 24.00      0  64        0         0
#> 75.1  24.00      0  21        1         0
#> 148   24.00      0  61        1         0
#> 162   24.00      0  51        0         0
#> 135.3 24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.191          NA        NA      NA
#> 2 age, Cure model          0.00141        NA        NA      NA
#> 3 grade_ii, Cure model    -0.132          NA        NA      NA
#> 4 grade_iii, Cure model    1.12           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00263        NA        NA      NA
#> 2 grade_ii, Survival model   0.404          NA        NA      NA
#> 3 grade_iii, Survival model  0.316          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.191107          0.001414         -0.131759          1.124805  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 251.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.191107026      0.001414046     -0.131759074      1.124805197 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002632936      0.403948256      0.316171230 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.78268170 0.56675852 0.48740631 0.85079323 0.54911899 0.46882291
#>   [7] 0.82527380 0.32758933 0.13051407 0.61895867 0.13051407 0.80833771
#>  [13] 0.44133997 0.35649788 0.32758933 0.31775221 0.16227848 0.88396298
#>  [19] 0.54911899 0.53116316 0.73135250 0.23839957 0.23839957 0.67112314
#>  [25] 0.56675852 0.23839957 0.84230874 0.17345559 0.40369883 0.30784610
#>  [31] 0.09810705 0.85079323 0.91745157 0.95072807 0.73135250 0.60156515
#>  [37] 0.79978778 0.03683451 0.11928389 0.94244558 0.59275179 0.21750365
#>  [43] 0.65378608 0.62768584 0.64506572 0.02062706 0.28804410 0.13051407
#>  [49] 0.85079323 0.47813999 0.99181943 0.85079323 0.42267181 0.48740631
#>  [55] 0.90078463 0.80833771 0.21750365 0.48740631 0.90078463 0.08581821
#>  [61] 0.75691669 0.37572847 0.68835380 0.89238159 0.93413743 0.07368090
#>  [67] 0.48740631 0.19538557 0.41322321 0.26827424 0.06095366 0.43203849
#>  [73] 0.79125419 0.56675852 0.44133997 0.09810705 0.60156515 0.92580436
#>  [79] 0.34680492 0.62768584 0.68835380 0.17345559 0.00673104 0.68835380
#>  [85] 0.48740631 0.29798638 0.77408263 0.20653210 0.44133997 0.83379859
#>  [91] 0.37572847 0.66247256 0.54016945 0.35649788 0.98362749 0.73135250
#>  [97] 0.75691669 0.26827424 0.97541027 0.67112314 0.72262018 0.95899216
#> [103] 0.03683451 0.95899216 0.68835380 0.37572847 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>   140   188   111   159     5   110    56    55   169   125 169.1    42   184 
#> 12.68 16.16 17.45 10.55 16.43 17.56 12.21 19.34 22.41 15.65 22.41 12.43 17.77 
#>   179  55.1   170   194    10   5.1   106    60    90  90.1   180 188.1  90.2 
#> 18.63 19.34 19.54 22.40 10.53 16.43 16.67 13.15 20.94 20.94 14.82 16.16 20.94 
#>   107   175    51   105    63 159.1    61   183  60.1    26   177   164    15 
#> 11.18 21.91 18.23 19.75 22.77 10.55 10.12  9.24 13.15 15.77 12.53 23.60 22.68 
#>   187   100    99   167     6    39   168   190 169.2 159.2   117    91 159.3 
#>  9.92 16.07 21.19 15.55 15.64 15.59 23.72 20.81 22.41 10.55 17.46  5.33 10.55 
#>    40 111.1    93  42.1  99.1 111.2  93.1   113   155   108   133    52   101 
#> 18.00 17.45 10.33 12.43 21.19 17.45 10.33 22.86 13.08 18.29 14.65 10.42  9.97 
#>    69 111.3   136    41    32   129   134   154 188.2 184.1  63.1  26.1   145 
#> 23.23 17.45 21.83 18.02 20.90 23.41 17.81 12.63 16.16 17.77 22.77 15.77 10.07 
#>    76   6.1 133.1 175.1    78 133.2 111.4   128   123   153 184.2    43 108.1 
#> 19.22 15.64 14.65 21.91 23.88 14.65 17.45 20.35 13.00 21.33 17.77 12.10 18.29 
#>    18   192 179.1    25  60.2 155.1  32.1    70 180.1    81    16 164.1  16.1 
#> 15.21 16.44 18.63  6.32 13.15 13.08 20.90  7.38 14.82 14.06  8.71 23.60  8.71 
#> 133.3 108.2   119   112   160    74   185    48   174   200   135    17 174.1 
#> 14.65 18.29 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    72   172  17.1 135.1   156   176     9   116   138  17.2    75   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19 116.1    65    44    21    28   131 200.1    38  65.1   152   173   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1   102   143   9.2     2   141 119.1    83 112.1   161   132  19.1    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1    80  65.2  17.3    31   120    33  44.2 174.2 156.1    84  38.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64  44.3  38.2 200.2   165   178    20 119.2  19.2 137.1   163 174.3    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.2   126   109    54 132.1  21.1 200.3  75.1   148   162 135.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[92]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0149314                 0.2630450                -0.2127479 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.80665575              0.01215378              0.24733767 
#>   grade_iii, Cure model 
#>              1.08771520 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 134   17.81      1  47        1         0
#> 59    10.16      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 164   23.60      1  76        0         1
#> 105   19.75      1  60        0         0
#> 155   13.08      1  26        0         0
#> 39    15.59      1  37        0         1
#> 154   12.63      1  20        1         0
#> 4     17.64      1  NA        0         1
#> 157   15.10      1  47        0         0
#> 140   12.68      1  59        1         0
#> 154.1 12.63      1  20        1         0
#> 96    14.54      1  33        0         1
#> 181   16.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 25     6.32      1  34        1         0
#> 184   17.77      1  38        0         0
#> 66    22.13      1  53        0         0
#> 180   14.82      1  37        0         0
#> 155.1 13.08      1  26        0         0
#> 139   21.49      1  63        1         0
#> 150   20.33      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 180.1 14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 57    14.46      1  45        0         1
#> 117   17.46      1  26        0         1
#> 97    19.14      1  65        0         1
#> 99    21.19      1  38        0         1
#> 23    16.92      1  61        0         0
#> 114   13.68      1  NA        0         0
#> 40    18.00      1  28        1         0
#> 15    22.68      1  48        0         0
#> 90    20.94      1  50        0         1
#> 61    10.12      1  36        0         1
#> 4.1   17.64      1  NA        0         1
#> 145   10.07      1  65        1         0
#> 86    23.81      1  58        0         1
#> 159   10.55      1  50        0         1
#> 32    20.90      1  37        1         0
#> 66.1  22.13      1  53        0         0
#> 159.1 10.55      1  50        0         1
#> 51    18.23      1  83        0         1
#> 45    17.42      1  54        0         1
#> 97.1  19.14      1  65        0         1
#> 25.1   6.32      1  34        1         0
#> 50    10.02      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 129   23.41      1  53        1         0
#> 76.1  19.22      1  54        0         1
#> 79.1  16.23      1  54        1         0
#> 181.1 16.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 134.1 17.81      1  47        1         0
#> 55    19.34      1  69        0         1
#> 125   15.65      1  67        1         0
#> 16     8.71      1  71        0         1
#> 5.1   16.43      1  51        0         1
#> 125.1 15.65      1  67        1         0
#> 32.1  20.90      1  37        1         0
#> 190   20.81      1  42        1         0
#> 14    12.89      1  21        0         0
#> 123   13.00      1  44        1         0
#> 100   16.07      1  60        0         0
#> 25.2   6.32      1  34        1         0
#> 86.1  23.81      1  58        0         1
#> 183    9.24      1  67        1         0
#> 89    11.44      1  NA        0         0
#> 41    18.02      1  40        1         0
#> 49    12.19      1  48        1         0
#> 18    15.21      1  49        1         0
#> 69    23.23      1  25        0         1
#> 63    22.77      1  31        1         0
#> 177   12.53      1  75        0         0
#> 50.1  10.02      1  NA        1         0
#> 14.1  12.89      1  21        0         0
#> 5.2   16.43      1  51        0         1
#> 76.2  19.22      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 60    13.15      1  38        1         0
#> 164.1 23.60      1  76        0         1
#> 155.2 13.08      1  26        0         0
#> 183.1  9.24      1  67        1         0
#> 133.1 14.65      1  57        0         0
#> 150.1 20.33      1  48        0         0
#> 29    15.45      1  68        1         0
#> 99.1  21.19      1  38        0         1
#> 159.2 10.55      1  50        0         1
#> 13    14.34      1  54        0         1
#> 128   20.35      1  35        0         1
#> 150.2 20.33      1  48        0         0
#> 59.1  10.16      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 167   15.55      1  56        1         0
#> 90.1  20.94      1  50        0         1
#> 60.1  13.15      1  38        1         0
#> 58    19.34      1  39        0         0
#> 25.3   6.32      1  34        1         0
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 133.2 14.65      1  57        0         0
#> 30    17.43      1  78        0         0
#> 88    18.37      1  47        0         0
#> 183.2  9.24      1  67        1         0
#> 36    21.19      1  48        0         1
#> 164.2 23.60      1  76        0         1
#> 168   23.72      1  70        0         0
#> 102   24.00      0  49        0         0
#> 44    24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 120   24.00      0  68        0         1
#> 47    24.00      0  38        0         1
#> 178   24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 185   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 28    24.00      0  67        1         0
#> 75.1  24.00      0  21        1         0
#> 185.1 24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 103   24.00      0  56        1         0
#> 3     24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 174.1 24.00      0  49        1         0
#> 121   24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 48    24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 112   24.00      0  61        0         0
#> 173   24.00      0  19        0         1
#> 112.1 24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 165   24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 104   24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 146   24.00      0  63        1         0
#> 102.1 24.00      0  49        0         0
#> 31.1  24.00      0  36        0         1
#> 3.1   24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 75.2  24.00      0  21        1         0
#> 160   24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 191   24.00      0  60        0         1
#> 67    24.00      0  25        0         0
#> 1.1   24.00      0  23        1         0
#> 122   24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 12    24.00      0  63        0         0
#> 21    24.00      0  47        0         0
#> 146.1 24.00      0  63        1         0
#> 27    24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 94    24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 94.1  24.00      0  51        0         1
#> 144   24.00      0  28        0         1
#> 12.1  24.00      0  63        0         0
#> 19    24.00      0  57        0         1
#> 121.1 24.00      0  57        1         0
#> 2     24.00      0   9        0         0
#> 115.1 24.00      0  NA        1         0
#> 95.1  24.00      0  68        0         1
#> 174.2 24.00      0  49        1         0
#> 48.1  24.00      0  31        1         0
#> 12.2  24.00      0  63        0         0
#> 82    24.00      0  34        0         0
#> 87    24.00      0  27        0         0
#> 21.1  24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 44.2  24.00      0  56        0         0
#> 34.1  24.00      0  36        0         0
#> 152   24.00      0  36        0         1
#> 102.2 24.00      0  49        0         0
#> 75.3  24.00      0  21        1         0
#> 116   24.00      0  58        0         1
#> 54    24.00      0  53        1         0
#> 147   24.00      0  76        1         0
#> 142   24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 104.1 24.00      0  50        1         0
#> 31.2  24.00      0  36        0         1
#> 73    24.00      0  NA        0         1
#> 126.1 24.00      0  48        0         0
#> 103.1 24.00      0  56        1         0
#> 44.3  24.00      0  56        0         0
#> 31.3  24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 121.2 24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.807         NA        NA      NA
#> 2 age, Cure model           0.0122        NA        NA      NA
#> 3 grade_ii, Cure model      0.247         NA        NA      NA
#> 4 grade_iii, Cure model     1.09          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0149        NA        NA      NA
#> 2 grade_ii, Survival model    0.263         NA        NA      NA
#> 3 grade_iii, Survival model  -0.213         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.80666           0.01215           0.24734           1.08772  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 246.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.80665575       0.01215378       0.24733767       1.08771520 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0149314        0.2630450       -0.2127479 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.699667e-01 1.510399e-01 1.166189e-02 4.314257e-04 6.271953e-02
#>   [6] 5.414280e-01 3.260643e-01 6.492717e-01 3.751902e-01 6.333022e-01
#>  [11] 6.492717e-01 4.541078e-01 2.196539e-01 9.807451e-01 9.069200e-01
#>  [16] 1.667648e-01 7.921344e-03 3.879691e-01 5.414280e-01 1.389943e-02
#>  [21] 4.978719e-02 4.138172e-01 3.879691e-01 2.391005e-01 4.681732e-01
#>  [26] 1.749941e-01 1.007207e-01 1.892634e-02 2.010239e-01 1.432577e-01
#>  [31] 6.265602e-03 2.742449e-02 7.810016e-01 7.985213e-01 8.642709e-06
#>  [36] 7.302004e-01 3.437378e-02 7.921344e-03 7.302004e-01 1.207644e-01
#>  [41] 1.920838e-01 1.007207e-01 9.069200e-01 6.971167e-01 1.633001e-02
#>  [46] 8.325761e-02 2.260573e-03 8.325761e-02 2.699667e-01 2.196539e-01
#>  [51] 4.681732e-01 8.162382e-01 1.510399e-01 7.264831e-02 3.029782e-01
#>  [56] 8.882139e-01 2.391005e-01 3.029782e-01 3.437378e-02 4.169926e-02
#>  [61] 6.021236e-01 5.865473e-01 2.916654e-01 9.069200e-01 8.642709e-06
#>  [66] 8.340727e-01 1.355359e-01 7.135886e-01 3.626270e-01 3.428529e-03
#>  [71] 4.807919e-03 6.808719e-01 6.021236e-01 2.391005e-01 8.325761e-02
#>  [76] 1.207644e-01 5.117235e-01 4.314257e-04 5.414280e-01 8.340727e-01
#>  [81] 4.138172e-01 4.978719e-02 3.502247e-01 1.892634e-02 7.302004e-01
#>  [86] 4.968790e-01 4.564996e-02 4.978719e-02 6.757915e-02 3.380503e-01
#>  [91] 2.742449e-02 5.117235e-01 7.264831e-02 9.069200e-01 2.102081e-01
#>  [96] 4.138172e-01 1.834021e-01 1.138113e-01 8.340727e-01 1.892634e-02
#> [101] 4.314257e-04 1.636572e-04 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    79   134   175   164   105   155    39   154   157   140 154.1    96   181 
#> 16.23 17.81 21.91 23.60 19.75 13.08 15.59 12.63 15.10 12.68 12.63 14.54 16.46 
#>   127    25   184    66   180 155.1   139   150   133 180.1     5    57   117 
#>  3.53  6.32 17.77 22.13 14.82 13.08 21.49 20.33 14.65 14.82 16.43 14.46 17.46 
#>    97    99    23    40    15    90    61   145    86   159    32  66.1 159.1 
#> 19.14 21.19 16.92 18.00 22.68 20.94 10.12 10.07 23.81 10.55 20.90 22.13 10.55 
#>    51    45  97.1  25.1    56   153    76   129  76.1  79.1 181.1  57.1   101 
#> 18.23 17.42 19.14  6.32 12.21 21.33 19.22 23.41 19.22 16.23 16.46 14.46  9.97 
#> 134.1    55   125    16   5.1 125.1  32.1   190    14   123   100  25.2  86.1 
#> 17.81 19.34 15.65  8.71 16.43 15.65 20.90 20.81 12.89 13.00 16.07  6.32 23.81 
#>   183    41    49    18    69    63   177  14.1   5.2  76.2  51.1    60 164.1 
#>  9.24 18.02 12.19 15.21 23.23 22.77 12.53 12.89 16.43 19.22 18.23 13.15 23.60 
#> 155.2 183.1 133.1 150.1    29  99.1 159.2    13   128 150.2   170   167  90.1 
#> 13.08  9.24 14.65 20.33 15.45 21.19 10.55 14.34 20.35 20.33 19.54 15.55 20.94 
#>  60.1    58  25.3   130 133.2    30    88 183.2    36 164.2   168   102    44 
#> 13.15 19.34  6.32 16.47 14.65 17.43 18.37  9.24 21.19 23.60 23.72 24.00 24.00 
#>    75     1   120    47   178   172    95   200   185    80    28  75.1 185.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   103     3 172.1 174.1   121    31    48  44.1   112   173 112.1   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   126   104    34   146 102.1  31.1   3.1   138  75.2   160   186   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   1.1   122   131    12    21 146.1    27    53    94   182  94.1   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1    19 121.1     2  95.1 174.2  48.1  12.2    82    87  21.1    35   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.2  34.1   152 102.2  75.3   116    54   147   142   163 104.1  31.2 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1  44.3  31.3   196 121.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[93]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008841176               0.883896962               0.228526759 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.60416603              0.03042767              0.26410974 
#>   grade_iii, Cure model 
#>              0.78065288 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 60    13.15      1  38        1         0
#> 189   10.51      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 37    12.52      1  57        1         0
#> 188   16.16      1  46        0         1
#> 133   14.65      1  57        0         0
#> 23    16.92      1  61        0         0
#> 117   17.46      1  26        0         1
#> 77     7.27      1  67        0         1
#> 37.1  12.52      1  57        1         0
#> 187    9.92      1  39        1         0
#> 70     7.38      1  30        1         0
#> 169   22.41      1  46        0         0
#> 81    14.06      1  34        0         0
#> 66    22.13      1  53        0         0
#> 60.1  13.15      1  38        1         0
#> 175   21.91      1  43        0         0
#> 88    18.37      1  47        0         0
#> 86    23.81      1  58        0         1
#> 166   19.98      1  48        0         0
#> 99    21.19      1  38        0         1
#> 5     16.43      1  51        0         1
#> 194   22.40      1  38        0         1
#> 127    3.53      1  62        0         1
#> 106   16.67      1  49        1         0
#> 68    20.62      1  44        0         0
#> 42    12.43      1  49        0         1
#> 133.1 14.65      1  57        0         0
#> 187.1  9.92      1  39        1         0
#> 66.1  22.13      1  53        0         0
#> 136   21.83      1  43        0         1
#> 39    15.59      1  37        0         1
#> 5.1   16.43      1  51        0         1
#> 93    10.33      1  52        0         1
#> 175.1 21.91      1  43        0         0
#> 51    18.23      1  83        0         1
#> 128   20.35      1  35        0         1
#> 60.2  13.15      1  38        1         0
#> 145   10.07      1  65        1         0
#> 86.1  23.81      1  58        0         1
#> 107   11.18      1  54        1         0
#> 181   16.46      1  45        0         1
#> 86.2  23.81      1  58        0         1
#> 97    19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 150   20.33      1  48        0         0
#> 181.1 16.46      1  45        0         1
#> 171   16.57      1  41        0         1
#> 130   16.47      1  53        0         1
#> 24    23.89      1  38        0         0
#> 86.3  23.81      1  58        0         1
#> 153   21.33      1  55        1         0
#> 70.1   7.38      1  30        1         0
#> 23.1  16.92      1  61        0         0
#> 50    10.02      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 157   15.10      1  47        0         0
#> 171.1 16.57      1  41        0         1
#> 42.1  12.43      1  49        0         1
#> 50.1  10.02      1  NA        1         0
#> 42.2  12.43      1  49        0         1
#> 59    10.16      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 49    12.19      1  48        1         0
#> 181.2 16.46      1  45        0         1
#> 15    22.68      1  48        0         0
#> 140   12.68      1  59        1         0
#> 55    19.34      1  69        0         1
#> 158   20.14      1  74        1         0
#> 52    10.42      1  52        0         1
#> 89    11.44      1  NA        0         0
#> 58    19.34      1  39        0         0
#> 114   13.68      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 108   18.29      1  39        0         1
#> 136.1 21.83      1  43        0         1
#> 56    12.21      1  60        0         0
#> 129   23.41      1  53        1         0
#> 169.1 22.41      1  46        0         0
#> 129.1 23.41      1  53        1         0
#> 99.1  21.19      1  38        0         1
#> 105   19.75      1  60        0         0
#> 136.2 21.83      1  43        0         1
#> 66.2  22.13      1  53        0         0
#> 18    15.21      1  49        1         0
#> 79.1  16.23      1  54        1         0
#> 105.1 19.75      1  60        0         0
#> 26    15.77      1  49        0         1
#> 5.2   16.43      1  51        0         1
#> 99.2  21.19      1  38        0         1
#> 76.1  19.22      1  54        0         1
#> 97.1  19.14      1  65        0         1
#> 139   21.49      1  63        1         0
#> 77.1   7.27      1  67        0         1
#> 100   16.07      1  60        0         0
#> 188.1 16.16      1  46        0         1
#> 134   17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 166.1 19.98      1  48        0         0
#> 59.1  10.16      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 181.3 16.46      1  45        0         1
#> 114.1 13.68      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 107.1 11.18      1  54        1         0
#> 96    14.54      1  33        0         1
#> 105.2 19.75      1  60        0         0
#> 145.1 10.07      1  65        1         0
#> 51.1  18.23      1  83        0         1
#> 49.1  12.19      1  48        1         0
#> 169.2 22.41      1  46        0         0
#> 105.3 19.75      1  60        0         0
#> 174   24.00      0  49        1         0
#> 21    24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 33    24.00      0  53        0         0
#> 116   24.00      0  58        0         1
#> 72    24.00      0  40        0         1
#> 87    24.00      0  27        0         0
#> 132   24.00      0  55        0         0
#> 46    24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 132.1 24.00      0  55        0         0
#> 160   24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 19    24.00      0  57        0         1
#> 84    24.00      0  39        0         1
#> 176   24.00      0  43        0         1
#> 104   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 80    24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 38    24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 116.1 24.00      0  58        0         1
#> 72.1  24.00      0  40        0         1
#> 132.2 24.00      0  55        0         0
#> 196   24.00      0  19        0         0
#> 31    24.00      0  36        0         1
#> 165   24.00      0  47        0         0
#> 80.1  24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 84.1  24.00      0  39        0         1
#> 121   24.00      0  57        1         0
#> 46.1  24.00      0  71        0         0
#> 121.1 24.00      0  57        1         0
#> 84.2  24.00      0  39        0         1
#> 71    24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 196.1 24.00      0  19        0         0
#> 64    24.00      0  43        0         0
#> 71.1  24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 72.2  24.00      0  40        0         1
#> 11    24.00      0  42        0         1
#> 102   24.00      0  49        0         0
#> 84.3  24.00      0  39        0         1
#> 11.1  24.00      0  42        0         1
#> 137   24.00      0  45        1         0
#> 3     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 84.4  24.00      0  39        0         1
#> 34    24.00      0  36        0         0
#> 98    24.00      0  34        1         0
#> 191   24.00      0  60        0         1
#> 73.1  24.00      0  NA        0         1
#> 73.2  24.00      0  NA        0         1
#> 53    24.00      0  32        0         1
#> 185.1 24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 34.1  24.00      0  36        0         0
#> 131   24.00      0  66        0         0
#> 84.5  24.00      0  39        0         1
#> 152   24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 148.1 24.00      0  61        1         0
#> 152.1 24.00      0  36        0         1
#> 34.2  24.00      0  36        0         0
#> 11.2  24.00      0  42        0         1
#> 80.2  24.00      0  41        0         0
#> 35.1  24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 9     24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 132.3 24.00      0  55        0         0
#> 173   24.00      0  19        0         1
#> 62    24.00      0  71        0         0
#> 33.1  24.00      0  53        0         0
#> 115.1 24.00      0  NA        1         0
#> 131.1 24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 186   24.00      0  45        1         0
#> 138.1 24.00      0  44        1         0
#> 46.2  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.60          NA        NA      NA
#> 2 age, Cure model           0.0304        NA        NA      NA
#> 3 grade_ii, Cure model      0.264         NA        NA      NA
#> 4 grade_iii, Cure model     0.781         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00884        NA        NA      NA
#> 2 grade_ii, Survival model   0.884          NA        NA      NA
#> 3 grade_iii, Survival model  0.229          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.60417           0.03043           0.26411           0.78065  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    256.9 
#> Residual Deviance: 246.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.60416603       0.03042767       0.26410974       0.78065288 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008841176      0.883896962      0.228526759 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.721084764 0.048601001 0.774108120 0.580292188 0.677164558 0.422925047
#>   [7] 0.412509058 0.970048453 0.774108120 0.919904331 0.950256924 0.062607485
#>  [13] 0.710022639 0.091816319 0.721084764 0.115625198 0.360527299 0.012350596
#>  [19] 0.236934336 0.176144063 0.527395837 0.083929265 0.989963918 0.443926524
#>  [25] 0.201236290 0.795020683 0.677164558 0.919904331 0.091816319 0.132879801
#>  [31] 0.633850621 0.527395837 0.888939541 0.115625198 0.381213179 0.210098346
#>  [37] 0.721084764 0.899358530 0.012350596 0.857931038 0.485849925 0.012350596
#>  [43] 0.340362483 0.320541496 0.218989604 0.485849925 0.454411577 0.475259124
#>  [49] 0.003047784 0.012350596 0.167482426 0.950256924 0.422925047 0.559252183
#>  [55] 0.655474177 0.454411577 0.795020683 0.795020683 0.752718929 0.837064964
#>  [61] 0.485849925 0.055450994 0.763446226 0.291662087 0.228007515 0.878545702
#>  [67] 0.291662087 0.940127464 0.370854398 0.132879801 0.826410197 0.036145433
#>  [73] 0.062607485 0.036145433 0.176144063 0.254911696 0.132879801 0.091816319
#>  [79] 0.644714012 0.559252183 0.254911696 0.612213546 0.527395837 0.176144063
#>  [85] 0.320541496 0.340362483 0.158596550 0.970048453 0.601457502 0.580292188
#>  [91] 0.402093436 0.666294740 0.236934336 0.291662087 0.485849925 0.623004687
#>  [97] 0.857931038 0.699005082 0.254911696 0.899358530 0.381213179 0.837064964
#> [103] 0.062607485 0.254911696 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    60    92    37   188   133    23   117    77  37.1   187    70   169    81 
#> 13.15 22.92 12.52 16.16 14.65 16.92 17.46  7.27 12.52  9.92  7.38 22.41 14.06 
#>    66  60.1   175    88    86   166    99     5   194   127   106    68    42 
#> 22.13 13.15 21.91 18.37 23.81 19.98 21.19 16.43 22.40  3.53 16.67 20.62 12.43 
#> 133.1 187.1  66.1   136    39   5.1    93 175.1    51   128  60.2   145  86.1 
#> 14.65  9.92 22.13 21.83 15.59 16.43 10.33 21.91 18.23 20.35 13.15 10.07 23.81 
#>   107   181  86.2    97    76   150 181.1   171   130    24  86.3   153  70.1 
#> 11.18 16.46 23.81 19.14 19.22 20.33 16.46 16.57 16.47 23.89 23.81 21.33  7.38 
#>  23.1    79   157 171.1  42.1  42.2   155    49 181.2    15   140    55   158 
#> 16.92 16.23 15.10 16.57 12.43 12.43 13.08 12.19 16.46 22.68 12.68 19.34 20.14 
#>    52    58   183   108 136.1    56   129 169.1 129.1  99.1   105 136.2  66.2 
#> 10.42 19.34  9.24 18.29 21.83 12.21 23.41 22.41 23.41 21.19 19.75 21.83 22.13 
#>    18  79.1 105.1    26   5.2  99.2  76.1  97.1   139  77.1   100 188.1   134 
#> 15.21 16.23 19.75 15.77 16.43 21.19 19.22 19.14 21.49  7.27 16.07 16.16 17.81 
#>   180 166.1  55.1 181.3     6 107.1    96 105.2 145.1  51.1  49.1 169.2 105.3 
#> 14.82 19.98 19.34 16.46 15.64 11.18 14.54 19.75 10.07 18.23 12.19 22.41 19.75 
#>   174    21   146   193    33   116    72    87   132    46 132.1   160     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19    84   176   104    80   185 146.1   148    38   138 116.1  72.1 132.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    31   165  80.1    17  84.1   121  46.1 121.1  84.2    71    27 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64  71.1    28  72.2    11   102  84.3  11.1   137     3   182  84.4    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   191    53 185.1   109  34.1   131  84.5   152    35 148.1 152.1  34.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.2  80.2  35.1     2     9    95   112 132.3   173    62  33.1 131.1   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   126   186 138.1  46.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[94]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001959867               0.465356013               0.367210693 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.003438990             0.005768797            -0.226448128 
#>   grade_iii, Cure model 
#>             0.186868038 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 24    23.89      1  38        0         0
#> 96    14.54      1  33        0         1
#> 70     7.38      1  30        1         0
#> 123   13.00      1  44        1         0
#> 136   21.83      1  43        0         1
#> 192   16.44      1  31        1         0
#> 4     17.64      1  NA        0         1
#> 125   15.65      1  67        1         0
#> 70.1   7.38      1  30        1         0
#> 90    20.94      1  50        0         1
#> 194   22.40      1  38        0         1
#> 171   16.57      1  41        0         1
#> 25     6.32      1  34        1         0
#> 107   11.18      1  54        1         0
#> 180   14.82      1  37        0         0
#> 13    14.34      1  54        0         1
#> 56    12.21      1  60        0         0
#> 14    12.89      1  21        0         0
#> 190   20.81      1  42        1         0
#> 79    16.23      1  54        1         0
#> 170   19.54      1  43        0         1
#> 42    12.43      1  49        0         1
#> 91     5.33      1  61        0         1
#> 14.1  12.89      1  21        0         0
#> 63    22.77      1  31        1         0
#> 157   15.10      1  47        0         0
#> 24.1  23.89      1  38        0         0
#> 158   20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 24.2  23.89      1  38        0         0
#> 36    21.19      1  48        0         1
#> 129   23.41      1  53        1         0
#> 188   16.16      1  46        0         1
#> 99    21.19      1  38        0         1
#> 40    18.00      1  28        1         0
#> 61    10.12      1  36        0         1
#> 16     8.71      1  71        0         1
#> 25.1   6.32      1  34        1         0
#> 10    10.53      1  34        0         0
#> 6     15.64      1  39        0         0
#> 70.2   7.38      1  30        1         0
#> 100   16.07      1  60        0         0
#> 170.1 19.54      1  43        0         1
#> 133   14.65      1  57        0         0
#> 37    12.52      1  57        1         0
#> 125.1 15.65      1  67        1         0
#> 10.1  10.53      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 123.1 13.00      1  44        1         0
#> 195   11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 76    19.22      1  54        0         1
#> 180.1 14.82      1  37        0         0
#> 88    18.37      1  47        0         0
#> 105   19.75      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 18.1  15.21      1  49        1         0
#> 63.1  22.77      1  31        1         0
#> 125.2 15.65      1  67        1         0
#> 91.1   5.33      1  61        0         1
#> 70.3   7.38      1  30        1         0
#> 37.1  12.52      1  57        1         0
#> 183    9.24      1  67        1         0
#> 14.2  12.89      1  21        0         0
#> 45    17.42      1  54        0         1
#> 41    18.02      1  40        1         0
#> 167   15.55      1  56        1         0
#> 43    12.10      1  61        0         1
#> 88.1  18.37      1  47        0         0
#> 90.1  20.94      1  50        0         1
#> 170.2 19.54      1  43        0         1
#> 14.3  12.89      1  21        0         0
#> 45.1  17.42      1  54        0         1
#> 56.1  12.21      1  60        0         0
#> 6.1   15.64      1  39        0         0
#> 149    8.37      1  33        1         0
#> 45.2  17.42      1  54        0         1
#> 129.1 23.41      1  53        1         0
#> 155   13.08      1  26        0         0
#> 190.1 20.81      1  42        1         0
#> 69    23.23      1  25        0         1
#> 96.1  14.54      1  33        0         1
#> 153   21.33      1  55        1         0
#> 23    16.92      1  61        0         0
#> 166   19.98      1  48        0         0
#> 5     16.43      1  51        0         1
#> 154   12.63      1  20        1         0
#> 45.3  17.42      1  54        0         1
#> 24.3  23.89      1  38        0         0
#> 134   17.81      1  47        1         0
#> 50.1  10.02      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 29    15.45      1  68        1         0
#> 130   16.47      1  53        0         1
#> 179   18.63      1  42        0         0
#> 117   17.46      1  26        0         1
#> 180.2 14.82      1  37        0         0
#> 169   22.41      1  46        0         0
#> 127    3.53      1  62        0         1
#> 42.1  12.43      1  49        0         1
#> 179.1 18.63      1  42        0         0
#> 52    10.42      1  52        0         1
#> 155.1 13.08      1  26        0         0
#> 187    9.92      1  39        1         0
#> 93    10.33      1  52        0         1
#> 30    17.43      1  78        0         0
#> 134.1 17.81      1  47        1         0
#> 24.4  23.89      1  38        0         0
#> 6.2   15.64      1  39        0         0
#> 40.1  18.00      1  28        1         0
#> 146   24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 7     24.00      0  37        1         0
#> 38    24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 3     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 186   24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 165   24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 20    24.00      0  46        1         0
#> 191   24.00      0  60        0         1
#> 83    24.00      0   6        0         0
#> 152   24.00      0  36        0         1
#> 74    24.00      0  43        0         1
#> 94    24.00      0  51        0         1
#> 80    24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 193.1 24.00      0  45        0         1
#> 94.1  24.00      0  51        0         1
#> 198.1 24.00      0  66        0         1
#> 3.1   24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 65.1  24.00      0  57        1         0
#> 20.1  24.00      0  46        1         0
#> 196   24.00      0  19        0         0
#> 64.1  24.00      0  43        0         0
#> 11    24.00      0  42        0         1
#> 121   24.00      0  57        1         0
#> 33    24.00      0  53        0         0
#> 152.1 24.00      0  36        0         1
#> 174   24.00      0  49        1         0
#> 48.1  24.00      0  31        1         0
#> 104.1 24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 83.1  24.00      0   6        0         0
#> 143   24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 178   24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 74.1  24.00      0  43        0         1
#> 196.1 24.00      0  19        0         0
#> 54    24.00      0  53        1         0
#> 126   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 65.2  24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 119   24.00      0  17        0         0
#> 126.1 24.00      0  48        0         0
#> 48.2  24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 75    24.00      0  21        1         0
#> 64.2  24.00      0  43        0         0
#> 73    24.00      0  NA        0         1
#> 185   24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 198.2 24.00      0  66        0         1
#> 46    24.00      0  71        0         0
#> 46.1  24.00      0  71        0         0
#> 27.1  24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 20.2  24.00      0  46        1         0
#> 182   24.00      0  35        0         0
#> 1     24.00      0  23        1         0
#> 2     24.00      0   9        0         0
#> 98.1  24.00      0  34        1         0
#> 120   24.00      0  68        0         1
#> 198.3 24.00      0  66        0         1
#> 120.1 24.00      0  68        0         1
#> 185.1 24.00      0  44        1         0
#> 2.1   24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 126.2 24.00      0  48        0         0
#> 38.1  24.00      0  31        1         0
#> 94.2  24.00      0  51        0         1
#> 21.1  24.00      0  47        0         0
#> 151.1 24.00      0  42        0         0
#> 11.1  24.00      0  42        0         1
#> 104.2 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.00344        NA        NA      NA
#> 2 age, Cure model          0.00577        NA        NA      NA
#> 3 grade_ii, Cure model    -0.226          NA        NA      NA
#> 4 grade_iii, Cure model    0.187          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00196        NA        NA      NA
#> 2 grade_ii, Survival model   0.465          NA        NA      NA
#> 3 grade_iii, Survival model  0.367          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.003439          0.005769         -0.226448          0.186868  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 263.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.003438990      0.005768797     -0.226448128      0.186868038 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001959867      0.465356013      0.367210693 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.04865824 0.72845224 0.94301637 0.76471991 0.24560545 0.57570402
#>   [7] 0.61601581 0.94301637 0.30500302 0.23205311 0.55907732 0.96844951
#>  [13] 0.86942179 0.69908550 0.74300204 0.84885582 0.77897197 0.32687781
#>  [19] 0.59202638 0.37861840 0.83511293 0.98113294 0.77897197 0.19077498
#>  [25] 0.69166467 0.04865824 0.34773562 0.04865824 0.27138673 0.14346713
#>  [31] 0.60006855 0.27138673 0.46426047 0.90995020 0.92989119 0.96844951
#>  [37] 0.88300948 0.63889446 0.94301637 0.60804870 0.37861840 0.72106051
#>  [43] 0.82123549 0.61601581 0.88300948 0.67688741 0.76471991 0.12310675
#>  [49] 0.87623124 0.40728143 0.69908550 0.43592616 0.36835774 0.27138673
#>  [55] 0.67688741 0.19077498 0.61601581 0.98113294 0.94301637 0.82123549
#>  [61] 0.92328171 0.77897197 0.51767465 0.45484404 0.66170831 0.86257100
#>  [67] 0.43592616 0.30500302 0.37861840 0.77897197 0.51767465 0.84885582
#>  [73] 0.63889446 0.93646985 0.51767465 0.14346713 0.75026964 0.32687781
#>  [79] 0.17499651 0.72845224 0.25874437 0.55065633 0.35806131 0.58389916
#>  [85] 0.80717250 0.51767465 0.04865824 0.48240529 0.80717250 0.66933312
#>  [91] 0.56742731 0.41692888 0.50005485 0.69908550 0.21804688 0.99371439
#>  [97] 0.83511293 0.41692888 0.89649973 0.75026964 0.91663338 0.90323995
#> [103] 0.50887734 0.48240529 0.04865824 0.63889446 0.46426047 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    24    96    70   123   136   192   125  70.1    90   194   171    25   107 
#> 23.89 14.54  7.38 13.00 21.83 16.44 15.65  7.38 20.94 22.40 16.57  6.32 11.18 
#>   180    13    56    14   190    79   170    42    91  14.1    63   157  24.1 
#> 14.82 14.34 12.21 12.89 20.81 16.23 19.54 12.43  5.33 12.89 22.77 15.10 23.89 
#>   158  24.2    36   129   188    99    40    61    16  25.1    10     6  70.2 
#> 20.14 23.89 21.19 23.41 16.16 21.19 18.00 10.12  8.71  6.32 10.53 15.64  7.38 
#>   100 170.1   133    37 125.1  10.1    18 123.1   168   159    76 180.1    88 
#> 16.07 19.54 14.65 12.52 15.65 10.53 15.21 13.00 23.72 10.55 19.22 14.82 18.37 
#>   105  36.1  18.1  63.1 125.2  91.1  70.3  37.1   183  14.2    45    41   167 
#> 19.75 21.19 15.21 22.77 15.65  5.33  7.38 12.52  9.24 12.89 17.42 18.02 15.55 
#>    43  88.1  90.1 170.2  14.3  45.1  56.1   6.1   149  45.2 129.1   155 190.1 
#> 12.10 18.37 20.94 19.54 12.89 17.42 12.21 15.64  8.37 17.42 23.41 13.08 20.81 
#>    69  96.1   153    23   166     5   154  45.3  24.3   134 154.1    29   130 
#> 23.23 14.54 21.33 16.92 19.98 16.43 12.63 17.42 23.89 17.81 12.63 15.45 16.47 
#>   179   117 180.2   169   127  42.1 179.1    52 155.1   187    93    30 134.1 
#> 18.63 17.46 14.82 22.41  3.53 12.43 18.63 10.42 13.08  9.92 10.33 17.43 17.81 
#>  24.4   6.2  40.1   146     7    38    48   193     3   104    65    27   116 
#> 23.89 15.64 18.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   198   165   138    64    20   191    83   152    74    94    80    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1  94.1 198.1   3.1    98  65.1  20.1   196  64.1    11   121    33 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174  48.1 104.1    47  83.1   143   151   178   141   118  74.1 196.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    67  65.2   173   119 126.1  48.2    21    75  64.2   185 186.1 198.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46  46.1  27.1    35 143.1 174.1  20.2   182     1     2  98.1   120 198.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1 185.1   2.1   156 126.2  38.1  94.2  21.1 151.1  11.1 104.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[95]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004162171               0.614531671               0.544642999 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.716375391             0.006295722             0.571445664 
#>   grade_iii, Cure model 
#>             1.482987442 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 181   16.46      1  45        0         1
#> 171   16.57      1  41        0         1
#> 117   17.46      1  26        0         1
#> 133   14.65      1  57        0         0
#> 5     16.43      1  51        0         1
#> 199   19.81      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 184   17.77      1  38        0         0
#> 51    18.23      1  83        0         1
#> 18    15.21      1  49        1         0
#> 32    20.90      1  37        1         0
#> 129   23.41      1  53        1         0
#> 136   21.83      1  43        0         1
#> 32.1  20.90      1  37        1         0
#> 89    11.44      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 155   13.08      1  26        0         0
#> 169   22.41      1  46        0         0
#> 88    18.37      1  47        0         0
#> 171.1 16.57      1  41        0         1
#> 188   16.16      1  46        0         1
#> 60    13.15      1  38        1         0
#> 52    10.42      1  52        0         1
#> 5.1   16.43      1  51        0         1
#> 77     7.27      1  67        0         1
#> 150   20.33      1  48        0         0
#> 145   10.07      1  65        1         0
#> 10.1  10.53      1  34        0         0
#> 149    8.37      1  33        1         0
#> 18.1  15.21      1  49        1         0
#> 68    20.62      1  44        0         0
#> 91     5.33      1  61        0         1
#> 88.1  18.37      1  47        0         0
#> 56    12.21      1  60        0         0
#> 154   12.63      1  20        1         0
#> 78    23.88      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 181.1 16.46      1  45        0         1
#> 16     8.71      1  71        0         1
#> 63    22.77      1  31        1         0
#> 140   12.68      1  59        1         0
#> 50    10.02      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 63.1  22.77      1  31        1         0
#> 79    16.23      1  54        1         0
#> 45    17.42      1  54        0         1
#> 45.1  17.42      1  54        0         1
#> 125   15.65      1  67        1         0
#> 155.1 13.08      1  26        0         0
#> 108   18.29      1  39        0         1
#> 57    14.46      1  45        0         1
#> 4.1   17.64      1  NA        0         1
#> 99    21.19      1  38        0         1
#> 93    10.33      1  52        0         1
#> 175   21.91      1  43        0         0
#> 61    10.12      1  36        0         1
#> 55    19.34      1  69        0         1
#> 128   20.35      1  35        0         1
#> 130   16.47      1  53        0         1
#> 55.1  19.34      1  69        0         1
#> 171.2 16.57      1  41        0         1
#> 170   19.54      1  43        0         1
#> 50.1  10.02      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 49    12.19      1  48        1         0
#> 41    18.02      1  40        1         0
#> 110   17.56      1  65        0         1
#> 184.1 17.77      1  38        0         0
#> 133.1 14.65      1  57        0         0
#> 170.1 19.54      1  43        0         1
#> 125.1 15.65      1  67        1         0
#> 18.2  15.21      1  49        1         0
#> 70     7.38      1  30        1         0
#> 105   19.75      1  60        0         0
#> 167   15.55      1  56        1         0
#> 150.1 20.33      1  48        0         0
#> 171.3 16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 25.1   6.32      1  34        1         0
#> 145.1 10.07      1  65        1         0
#> 66    22.13      1  53        0         0
#> 68.1  20.62      1  44        0         0
#> 167.1 15.55      1  56        1         0
#> 23    16.92      1  61        0         0
#> 18.3  15.21      1  49        1         0
#> 39    15.59      1  37        0         1
#> 57.1  14.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 171.4 16.57      1  41        0         1
#> 50.2  10.02      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 197   21.60      1  69        1         0
#> 125.2 15.65      1  67        1         0
#> 25.2   6.32      1  34        1         0
#> 139   21.49      1  63        1         0
#> 10.2  10.53      1  34        0         0
#> 52.1  10.42      1  52        0         1
#> 101    9.97      1  10        0         1
#> 42    12.43      1  49        0         1
#> 153   21.33      1  55        1         0
#> 43    12.10      1  61        0         1
#> 69    23.23      1  25        0         1
#> 16.1   8.71      1  71        0         1
#> 66.1  22.13      1  53        0         0
#> 175.1 21.91      1  43        0         0
#> 23.1  16.92      1  61        0         0
#> 99.1  21.19      1  38        0         1
#> 188.1 16.16      1  46        0         1
#> 164   23.60      1  76        0         1
#> 25.3   6.32      1  34        1         0
#> 169.1 22.41      1  46        0         0
#> 90    20.94      1  50        0         1
#> 109   24.00      0  48        0         0
#> 143   24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 11    24.00      0  42        0         1
#> 163   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 115   24.00      0  NA        1         0
#> 147.1 24.00      0  76        1         0
#> 17    24.00      0  38        0         1
#> 3     24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 33    24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 148   24.00      0  61        1         0
#> 148.1 24.00      0  61        1         0
#> 34    24.00      0  36        0         0
#> 152   24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 126   24.00      0  48        0         0
#> 102   24.00      0  49        0         0
#> 94    24.00      0  51        0         1
#> 137   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 193   24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 122   24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 35.1  24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 147.2 24.00      0  76        1         0
#> 2     24.00      0   9        0         0
#> 7     24.00      0  37        1         0
#> 148.2 24.00      0  61        1         0
#> 82.1  24.00      0  34        0         0
#> 132   24.00      0  55        0         0
#> 22    24.00      0  52        1         0
#> 102.1 24.00      0  49        0         0
#> 163.1 24.00      0  66        0         0
#> 196.1 24.00      0  19        0         0
#> 82.2  24.00      0  34        0         0
#> 2.1   24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 104   24.00      0  50        1         0
#> 82.3  24.00      0  34        0         0
#> 62.1  24.00      0  71        0         0
#> 54.1  24.00      0  53        1         0
#> 87    24.00      0  27        0         0
#> 144.1 24.00      0  28        0         1
#> 182   24.00      0  35        0         0
#> 121   24.00      0  57        1         0
#> 65    24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 103.1 24.00      0  56        1         0
#> 182.1 24.00      0  35        0         0
#> 54.2  24.00      0  53        1         0
#> 115.1 24.00      0  NA        1         0
#> 119   24.00      0  17        0         0
#> 144.2 24.00      0  28        0         1
#> 7.1   24.00      0  37        1         0
#> 65.1  24.00      0  57        1         0
#> 62.2  24.00      0  71        0         0
#> 62.3  24.00      0  71        0         0
#> 144.3 24.00      0  28        0         1
#> 131   24.00      0  66        0         0
#> 144.4 24.00      0  28        0         1
#> 62.4  24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 162   24.00      0  51        0         0
#> 84.1  24.00      0  39        0         1
#> 82.4  24.00      0  34        0         0
#> 200.1 24.00      0  64        0         0
#> 137.1 24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 98    24.00      0  34        1         0
#> 121.1 24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 73    24.00      0  NA        0         1
#> 38    24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 163.2 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.716          NA        NA      NA
#> 2 age, Cure model          0.00630        NA        NA      NA
#> 3 grade_ii, Cure model     0.571          NA        NA      NA
#> 4 grade_iii, Cure model    1.48           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00416        NA        NA      NA
#> 2 grade_ii, Survival model   0.615          NA        NA      NA
#> 3 grade_iii, Survival model  0.545          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.716375          0.006296          0.571446          1.482987  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 244.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.716375391      0.006295722      0.571445664      1.482987442 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004162171      0.614531671      0.544642999 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.582020011 0.528431761 0.480939414 0.726790060 0.599890362 0.847480035
#>   [7] 0.451733605 0.422075391 0.694450453 0.269055541 0.061954693 0.188004250
#>  [13] 0.269055541 0.963277413 0.767631380 0.115245462 0.391907024 0.528431761
#>  [19] 0.626388200 0.759499298 0.870972288 0.599890362 0.955719710 0.320578367
#>  [25] 0.902201292 0.847480035 0.940529390 0.694450453 0.289514896 0.992604266
#>  [31] 0.391907024 0.823765814 0.800014528 0.007005707 0.582020011 0.925287123
#>  [37] 0.092565549 0.791947905 0.023166656 0.092565549 0.617553312 0.490592999
#>  [43] 0.490592999 0.643727678 0.767631380 0.412012615 0.743221958 0.236376702
#>  [49] 0.886595430 0.163066422 0.894414838 0.371983225 0.310219615 0.572893905
#>  [55] 0.371983225 0.528431761 0.351741421 0.800014528 0.831704728 0.432085579
#>  [61] 0.471178637 0.451733605 0.726790060 0.351741421 0.643727678 0.694450453
#>  [67] 0.948143768 0.341198944 0.677686984 0.320578367 0.528431761 0.783844452
#>  [73] 0.963277413 0.902201292 0.138744088 0.289514896 0.677686984 0.509433577
#>  [79] 0.694450453 0.669154140 0.743221958 0.441966392 0.528431761 0.200537044
#>  [85] 0.643727678 0.963277413 0.212774003 0.847480035 0.870972288 0.917598365
#>  [91] 0.815843773 0.224721027 0.839604883 0.078080609 0.925287123 0.138744088
#>  [97] 0.163066422 0.509433577 0.236376702 0.626388200 0.043565869 0.963277413
#> [103] 0.115245462 0.258128486 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   181   171   117   133     5    10   184    51    18    32   129   136  32.1 
#> 16.46 16.57 17.46 14.65 16.43 10.53 17.77 18.23 15.21 20.90 23.41 21.83 20.90 
#>    25   155   169    88 171.1   188    60    52   5.1    77   150   145  10.1 
#>  6.32 13.08 22.41 18.37 16.57 16.16 13.15 10.42 16.43  7.27 20.33 10.07 10.53 
#>   149  18.1    68    91  88.1    56   154    78 181.1    16    63   140   168 
#>  8.37 15.21 20.62  5.33 18.37 12.21 12.63 23.88 16.46  8.71 22.77 12.68 23.72 
#>  63.1    79    45  45.1   125 155.1   108    57    99    93   175    61    55 
#> 22.77 16.23 17.42 17.42 15.65 13.08 18.29 14.46 21.19 10.33 21.91 10.12 19.34 
#>   128   130  55.1 171.2   170 154.1    49    41   110 184.1 133.1 170.1 125.1 
#> 20.35 16.47 19.34 16.57 19.54 12.63 12.19 18.02 17.56 17.77 14.65 19.54 15.65 
#>  18.2    70   105   167 150.1 171.3   123  25.1 145.1    66  68.1 167.1    23 
#> 15.21  7.38 19.75 15.55 20.33 16.57 13.00  6.32 10.07 22.13 20.62 15.55 16.92 
#>  18.3    39  57.1   134 171.4   197 125.2  25.2   139  10.2  52.1   101    42 
#> 15.21 15.59 14.46 17.81 16.57 21.60 15.65  6.32 21.49 10.53 10.42  9.97 12.43 
#>   153    43    69  16.1  66.1 175.1  23.1  99.1 188.1   164  25.3 169.1    90 
#> 21.33 12.10 23.23  8.71 22.13 21.91 16.92 21.19 16.16 23.60  6.32 22.41 20.94 
#>   109   143    62    44    11   163   147 147.1    17     3    35   174    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   200   148 148.1    34   152    54   126   102    94   137   112   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   122 109.1  35.1   144    82 147.2     2     7 148.2  82.1   132    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1 163.1 196.1  82.2   2.1   142    80   103   104  82.3  62.1  54.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1   182   121    65   116 103.1 182.1  54.2   119 144.2   7.1  65.1  62.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.3 144.3   131 144.4  62.4   138    84   162  84.1  82.4 200.1 137.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75    98 121.1    53    38 152.1 163.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[96]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0063968946              0.0002778921              0.0297224152 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.14921877              0.02317052             -0.21904521 
#>   grade_iii, Cure model 
#>              0.67558324 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 77     7.27      1  67        0         1
#> 100   16.07      1  60        0         0
#> 89    11.44      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 136   21.83      1  43        0         1
#> 81    14.06      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 145   10.07      1  65        1         0
#> 187    9.92      1  39        1         0
#> 59    10.16      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 133   14.65      1  57        0         0
#> 189   10.51      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 111   17.45      1  47        0         1
#> 197   21.60      1  69        1         0
#> 4.1   17.64      1  NA        0         1
#> 192   16.44      1  31        1         0
#> 90    20.94      1  50        0         1
#> 133.1 14.65      1  57        0         0
#> 77.1   7.27      1  67        0         1
#> 60    13.15      1  38        1         0
#> 195   11.76      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 180   14.82      1  37        0         0
#> 99    21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 136.1 21.83      1  43        0         1
#> 41    18.02      1  40        1         0
#> 61    10.12      1  36        0         1
#> 13.1  14.34      1  54        0         1
#> 155   13.08      1  26        0         0
#> 127    3.53      1  62        0         1
#> 125   15.65      1  67        1         0
#> 164   23.60      1  76        0         1
#> 90.1  20.94      1  50        0         1
#> 45    17.42      1  54        0         1
#> 29    15.45      1  68        1         0
#> 29.1  15.45      1  68        1         0
#> 91     5.33      1  61        0         1
#> 89.1  11.44      1  NA        0         0
#> 111.1 17.45      1  47        0         1
#> 164.1 23.60      1  76        0         1
#> 157   15.10      1  47        0         0
#> 30    17.43      1  78        0         0
#> 155.1 13.08      1  26        0         0
#> 59.1  10.16      1  NA        1         0
#> 125.1 15.65      1  67        1         0
#> 197.1 21.60      1  69        1         0
#> 85    16.44      1  36        0         0
#> 125.2 15.65      1  67        1         0
#> 166.1 19.98      1  48        0         0
#> 150   20.33      1  48        0         0
#> 153   21.33      1  55        1         0
#> 153.1 21.33      1  55        1         0
#> 130   16.47      1  53        0         1
#> 89.2  11.44      1  NA        0         0
#> 63    22.77      1  31        1         0
#> 139   21.49      1  63        1         0
#> 113   22.86      1  34        0         0
#> 159   10.55      1  50        0         1
#> 32    20.90      1  37        1         0
#> 136.2 21.83      1  43        0         1
#> 199.1 19.81      1  NA        0         1
#> 63.1  22.77      1  31        1         0
#> 197.2 21.60      1  69        1         0
#> 157.1 15.10      1  47        0         0
#> 190   20.81      1  42        1         0
#> 26    15.77      1  49        0         1
#> 52    10.42      1  52        0         1
#> 55    19.34      1  69        0         1
#> 179   18.63      1  42        0         0
#> 181   16.46      1  45        0         1
#> 61.1  10.12      1  36        0         1
#> 100.1 16.07      1  60        0         0
#> 61.2  10.12      1  36        0         1
#> 124    9.73      1  NA        1         0
#> 90.2  20.94      1  50        0         1
#> 130.1 16.47      1  53        0         1
#> 13.2  14.34      1  54        0         1
#> 157.2 15.10      1  47        0         0
#> 29.2  15.45      1  68        1         0
#> 29.3  15.45      1  68        1         0
#> 188   16.16      1  46        0         1
#> 188.1 16.16      1  46        0         1
#> 184   17.77      1  38        0         0
#> 15.1  22.68      1  48        0         0
#> 108   18.29      1  39        0         1
#> 97    19.14      1  65        0         1
#> 195.1 11.76      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 89.3  11.44      1  NA        0         0
#> 194.1 22.40      1  38        0         1
#> 49    12.19      1  48        1         0
#> 124.1  9.73      1  NA        1         0
#> 199.2 19.81      1  NA        0         1
#> 85.1  16.44      1  36        0         0
#> 166.2 19.98      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 77.2   7.27      1  67        0         1
#> 175   21.91      1  43        0         0
#> 133.2 14.65      1  57        0         0
#> 88    18.37      1  47        0         0
#> 170   19.54      1  43        0         1
#> 42    12.43      1  49        0         1
#> 10    10.53      1  34        0         0
#> 14    12.89      1  21        0         0
#> 168   23.72      1  70        0         0
#> 58    19.34      1  39        0         0
#> 146   24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 87    24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 94    24.00      0  51        0         1
#> 11    24.00      0  42        0         1
#> 54    24.00      0  53        1         0
#> 34    24.00      0  36        0         0
#> 1     24.00      0  23        1         0
#> 186   24.00      0  45        1         0
#> 1.1   24.00      0  23        1         0
#> 173   24.00      0  19        0         1
#> 20    24.00      0  46        1         0
#> 143   24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 120   24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 44    24.00      0  56        0         0
#> 163   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 103   24.00      0  56        1         0
#> 163.1 24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 196   24.00      0  19        0         0
#> 19    24.00      0  57        0         1
#> 3     24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 178   24.00      0  52        1         0
#> 11.1  24.00      0  42        0         1
#> 67    24.00      0  25        0         0
#> 53    24.00      0  32        0         1
#> 80    24.00      0  41        0         0
#> 119   24.00      0  17        0         0
#> 146.1 24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 67.1  24.00      0  25        0         0
#> 193   24.00      0  45        0         1
#> 178.1 24.00      0  52        1         0
#> 67.2  24.00      0  25        0         0
#> 163.2 24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 160   24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 131   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 102   24.00      0  49        0         0
#> 163.3 24.00      0  66        0         0
#> 196.1 24.00      0  19        0         0
#> 54.1  24.00      0  53        1         0
#> 3.1   24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 162.2 24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 3.2   24.00      0  31        1         0
#> 186.1 24.00      0  45        1         0
#> 144.1 24.00      0  28        0         1
#> 112.1 24.00      0  61        0         0
#> 17    24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 65    24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 144.2 24.00      0  28        0         1
#> 138.1 24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 172.1 24.00      0  41        0         0
#> 80.1  24.00      0  41        0         0
#> 74.1  24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 116   24.00      0  58        0         1
#> 165   24.00      0  47        0         0
#> 172.2 24.00      0  41        0         0
#> 116.1 24.00      0  58        0         1
#> 38    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 44.1  24.00      0  56        0         0
#> 73.1  24.00      0  NA        0         1
#> 162.3 24.00      0  51        0         0
#> 162.4 24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 102.1 24.00      0  49        0         0
#> 103.2 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.15          NA        NA      NA
#> 2 age, Cure model           0.0232        NA        NA      NA
#> 3 grade_ii, Cure model     -0.219         NA        NA      NA
#> 4 grade_iii, Cure model     0.676         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00640         NA        NA      NA
#> 2 grade_ii, Survival model   0.000278        NA        NA      NA
#> 3 grade_iii, Survival model  0.0297          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.14922           0.02317          -0.21905           0.67558  
#> 
#> Degrees of Freedom: 180 Total (i.e. Null);  177 Residual
#> Null Deviance:	    250.3 
#> Residual Deviance: 240.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.14921877       0.02317052      -0.21904521       0.67558324 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0063968946     0.0002778921     0.0297224152 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0468192639 0.9309592683 0.4755299722 0.1948845637 0.0345561329
#>   [6] 0.0668044351 0.7310565468 0.9036094275 0.9172618618 0.6926789664
#>  [11] 0.6548689079 0.2222110250 0.3435000799 0.0871014206 0.4196590456
#>  [16] 0.1423432549 0.6548689079 0.9309592683 0.7441252035 0.2912337166
#>  [21] 0.6422422786 0.1337820195 0.0120478939 0.0668044351 0.3223658463
#>  [26] 0.8634708923 0.6926789664 0.7572435310 0.9859884121 0.5218413027
#>  [31] 0.0042191487 0.1423432549 0.3755624186 0.5571973400 0.5571973400
#>  [36] 0.9720377110 0.3435000799 0.0042191487 0.6052524933 0.3646853351
#>  [41] 0.7572435310 0.5218413027 0.0871014206 0.4196590456 0.5218413027
#>  [46] 0.1948845637 0.1856743212 0.1174024319 0.1174024319 0.3865254785
#>  [51] 0.0233711530 0.1092564159 0.0175243768 0.8231943310 0.1676013475
#>  [56] 0.0668044351 0.0233711530 0.0871014206 0.6052524933 0.1765833712
#>  [61] 0.4985527325 0.8499943104 0.2415822663 0.2711404740 0.4084673396
#>  [66] 0.8634708923 0.4755299722 0.8634708923 0.1423432549 0.3865254785
#>  [71] 0.6926789664 0.6052524933 0.5571973400 0.5571973400 0.4528572382
#>  [76] 0.4528572382 0.3328967607 0.0345561329 0.3119119801 0.2610798531
#>  [81] 0.4985527325 0.0468192639 0.8098698590 0.4196590456 0.1948845637
#>  [86] 0.2711404740 0.9309592683 0.0597499537 0.6548689079 0.3015268078
#>  [91] 0.2318526085 0.7966030547 0.8365733415 0.7833906106 0.0008823159
#>  [96] 0.2415822663 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000
#> 
#> $Time
#>   194    77   100   166    15   136    81   145   187    13   133   105   111 
#> 22.40  7.27 16.07 19.98 22.68 21.83 14.06 10.07  9.92 14.34 14.65 19.75 17.45 
#>   197   192    90 133.1  77.1    60     8   180    99    92 136.1    41    61 
#> 21.60 16.44 20.94 14.65  7.27 13.15 18.43 14.82 21.19 22.92 21.83 18.02 10.12 
#>  13.1   155   127   125   164  90.1    45    29  29.1    91 111.1 164.1   157 
#> 14.34 13.08  3.53 15.65 23.60 20.94 17.42 15.45 15.45  5.33 17.45 23.60 15.10 
#>    30 155.1 125.1 197.1    85 125.2 166.1   150   153 153.1   130    63   139 
#> 17.43 13.08 15.65 21.60 16.44 15.65 19.98 20.33 21.33 21.33 16.47 22.77 21.49 
#>   113   159    32 136.2  63.1 197.2 157.1   190    26    52    55   179   181 
#> 22.86 10.55 20.90 21.83 22.77 21.60 15.10 20.81 15.77 10.42 19.34 18.63 16.46 
#>  61.1 100.1  61.2  90.2 130.1  13.2 157.2  29.2  29.3   188 188.1   184  15.1 
#> 10.12 16.07 10.12 20.94 16.47 14.34 15.10 15.45 15.45 16.16 16.16 17.77 22.68 
#>   108    97  26.1 194.1    49  85.1 166.2 179.1  77.2   175 133.2    88   170 
#> 18.29 19.14 15.77 22.40 12.19 16.44 19.98 18.63  7.27 21.91 14.65 18.37 19.54 
#>    42    10    14   168    58   146    87   162   144    94    11    54    34 
#> 12.43 10.53 12.89 23.72 19.34 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   186   1.1   173    20   143    74   172   120   137    82    44   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147   103 163.1   112   196    19     3    22   178  11.1    67    53    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119 146.1 162.1  67.1   193 178.1  67.2 163.2   198   160 103.1   131    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   102 163.3 196.1  54.1   3.1   138   132 162.2   121   135   3.2 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1 112.1    17    72    65   200 144.2 138.1   151 172.1  80.1  74.1   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   165 172.2 116.1    38   191  44.1 162.3 162.4  94.1 102.1 103.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[97]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007318097               0.498790020               0.199473025 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.344297276             0.008503734            -0.222846957 
#>   grade_iii, Cure model 
#>             0.614717900 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 8     18.43      1  32        0         0
#> 85    16.44      1  36        0         0
#> 88    18.37      1  47        0         0
#> 86    23.81      1  58        0         1
#> 124    9.73      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 81    14.06      1  34        0         0
#> 108   18.29      1  39        0         1
#> 167.1 15.55      1  56        1         0
#> 150   20.33      1  48        0         0
#> 175   21.91      1  43        0         0
#> 23    16.92      1  61        0         0
#> 15    22.68      1  48        0         0
#> 36    21.19      1  48        0         1
#> 149    8.37      1  33        1         0
#> 32    20.90      1  37        1         0
#> 39    15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 157   15.10      1  47        0         0
#> 124.1  9.73      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 155   13.08      1  26        0         0
#> 85.1  16.44      1  36        0         0
#> 106   16.67      1  49        1         0
#> 133   14.65      1  57        0         0
#> 187    9.92      1  39        1         0
#> 111   17.45      1  47        0         1
#> 154   12.63      1  20        1         0
#> 159   10.55      1  50        0         1
#> 129   23.41      1  53        1         0
#> 190   20.81      1  42        1         0
#> 39.1  15.59      1  37        0         1
#> 96    14.54      1  33        0         1
#> 157.1 15.10      1  47        0         0
#> 5     16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 86.1  23.81      1  58        0         1
#> 99    21.19      1  38        0         1
#> 183    9.24      1  67        1         0
#> 153   21.33      1  55        1         0
#> 40    18.00      1  28        1         0
#> 23.1  16.92      1  61        0         0
#> 171   16.57      1  41        0         1
#> 39.2  15.59      1  37        0         1
#> 91     5.33      1  61        0         1
#> 159.1 10.55      1  50        0         1
#> 29    15.45      1  68        1         0
#> 133.1 14.65      1  57        0         0
#> 89    11.44      1  NA        0         0
#> 4     17.64      1  NA        0         1
#> 61    10.12      1  36        0         1
#> 170   19.54      1  43        0         1
#> 170.1 19.54      1  43        0         1
#> 194   22.40      1  38        0         1
#> 79    16.23      1  54        1         0
#> 77     7.27      1  67        0         1
#> 123.1 13.00      1  44        1         0
#> 133.2 14.65      1  57        0         0
#> 61.1  10.12      1  36        0         1
#> 93    10.33      1  52        0         1
#> 149.1  8.37      1  33        1         0
#> 171.1 16.57      1  41        0         1
#> 111.1 17.45      1  47        0         1
#> 40.1  18.00      1  28        1         0
#> 158   20.14      1  74        1         0
#> 136   21.83      1  43        0         1
#> 88.1  18.37      1  47        0         0
#> 4.1   17.64      1  NA        0         1
#> 36.1  21.19      1  48        0         1
#> 69    23.23      1  25        0         1
#> 159.2 10.55      1  50        0         1
#> 101    9.97      1  10        0         1
#> 125   15.65      1  67        1         0
#> 113   22.86      1  34        0         0
#> 77.1   7.27      1  67        0         1
#> 92    22.92      1  47        0         1
#> 101.1  9.97      1  10        0         1
#> 139   21.49      1  63        1         0
#> 4.2   17.64      1  NA        0         1
#> 57    14.46      1  45        0         1
#> 133.3 14.65      1  57        0         0
#> 92.1  22.92      1  47        0         1
#> 107   11.18      1  54        1         0
#> 150.1 20.33      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 100   16.07      1  60        0         0
#> 197   21.60      1  69        1         0
#> 171.2 16.57      1  41        0         1
#> 195   11.76      1  NA        1         0
#> 129.1 23.41      1  53        1         0
#> 175.1 21.91      1  43        0         0
#> 124.2  9.73      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 23.2  16.92      1  61        0         0
#> 93.1  10.33      1  52        0         1
#> 101.2  9.97      1  10        0         1
#> 136.1 21.83      1  43        0         1
#> 90    20.94      1  50        0         1
#> 29.1  15.45      1  68        1         0
#> 167.2 15.55      1  56        1         0
#> 107.1 11.18      1  54        1         0
#> 6     15.64      1  39        0         0
#> 56    12.21      1  60        0         0
#> 32.1  20.90      1  37        1         0
#> 187.1  9.92      1  39        1         0
#> 175.2 21.91      1  43        0         0
#> 24    23.89      1  38        0         0
#> 188   16.16      1  46        0         1
#> 29.2  15.45      1  68        1         0
#> 24.1  23.89      1  38        0         0
#> 164   23.60      1  76        0         1
#> 117   17.46      1  26        0         1
#> 7     24.00      0  37        1         0
#> 2     24.00      0   9        0         0
#> 135   24.00      0  58        1         0
#> 151   24.00      0  42        0         0
#> 126   24.00      0  48        0         0
#> 172   24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 118   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 135.1 24.00      0  58        1         0
#> 160   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 95    24.00      0  68        0         1
#> 151.1 24.00      0  42        0         0
#> 115   24.00      0  NA        1         0
#> 193   24.00      0  45        0         1
#> 83    24.00      0   6        0         0
#> 146   24.00      0  63        1         0
#> 33.1  24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 193.1 24.00      0  45        0         1
#> 82    24.00      0  34        0         0
#> 9     24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 132   24.00      0  55        0         0
#> 95.1  24.00      0  68        0         1
#> 72    24.00      0  40        0         1
#> 38    24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 173   24.00      0  19        0         1
#> 163   24.00      0  66        0         0
#> 112.1 24.00      0  61        0         0
#> 173.1 24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 156   24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 135.2 24.00      0  58        1         0
#> 67    24.00      0  25        0         0
#> 9.1   24.00      0  31        1         0
#> 118.1 24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 116   24.00      0  58        0         1
#> 138   24.00      0  44        1         0
#> 135.3 24.00      0  58        1         0
#> 65    24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 186   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 160.1 24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 71    24.00      0  51        0         0
#> 147.1 24.00      0  76        1         0
#> 47    24.00      0  38        0         1
#> 9.2   24.00      0  31        1         0
#> 65.1  24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 87    24.00      0  27        0         0
#> 94    24.00      0  51        0         1
#> 47.1  24.00      0  38        0         1
#> 126.1 24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 165   24.00      0  47        0         0
#> 11    24.00      0  42        0         1
#> 146.1 24.00      0  63        1         0
#> 47.2  24.00      0  38        0         1
#> 95.2  24.00      0  68        0         1
#> 53.1  24.00      0  32        0         1
#> 64    24.00      0  43        0         0
#> 156.1 24.00      0  50        1         0
#> 72.1  24.00      0  40        0         1
#> 83.1  24.00      0   6        0         0
#> 191.1 24.00      0  60        0         1
#> 135.4 24.00      0  58        1         0
#> 54    24.00      0  53        1         0
#> 72.2  24.00      0  40        0         1
#> 71.1  24.00      0  51        0         0
#> 38.2  24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 12.1  24.00      0  63        0         0
#> 112.2 24.00      0  61        0         0
#> 102   24.00      0  49        0         0
#> 53.2  24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.344          NA        NA      NA
#> 2 age, Cure model          0.00850        NA        NA      NA
#> 3 grade_ii, Cure model    -0.223          NA        NA      NA
#> 4 grade_iii, Cure model    0.615          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00732        NA        NA      NA
#> 2 grade_ii, Survival model   0.499          NA        NA      NA
#> 3 grade_iii, Survival model  0.199          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.344297          0.008504         -0.222847          0.614718  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 257 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.344297276      0.008503734     -0.222846957      0.614717900 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007318097      0.498790020      0.199473025 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.301884327 0.456073103 0.311483027 0.015354176 0.576762173 0.718939527
#>   [7] 0.330724713 0.576762173 0.237058459 0.102243886 0.388098398 0.084841643
#>  [13] 0.173777199 0.948179570 0.209945602 0.546624761 0.740001595 0.636744692
#>  [19] 0.283114754 0.729457389 0.456073103 0.417100817 0.657086141 0.906651213
#>  [25] 0.369034421 0.760825865 0.802470944 0.037959549 0.227949022 0.546624761
#>  [31] 0.697990239 0.636744692 0.475887680 0.516128711 0.015354176 0.173777199
#>  [37] 0.927417361 0.164539663 0.340513536 0.388098398 0.426966208 0.546624761
#>  [43] 0.989550412 0.802470944 0.606754141 0.657086141 0.854527189 0.264658454
#>  [49] 0.264658454 0.093511889 0.485934020 0.968809256 0.740001595 0.657086141
#>  [55] 0.854527189 0.833573874 0.948179570 0.426966208 0.369034421 0.340513536
#>  [61] 0.255335837 0.127916754 0.311483027 0.173777199 0.052842208 0.802470944
#>  [67] 0.875512419 0.526279200 0.076426634 0.968809256 0.060879535 0.875512419
#>  [73] 0.155249558 0.708455453 0.657086141 0.060879535 0.781723545 0.237058459
#>  [79] 0.927417361 0.506007507 0.145938190 0.426966208 0.037959549 0.102243886
#>  [85] 0.283114754 0.388098398 0.833573874 0.875512419 0.127916754 0.200531317
#>  [91] 0.606754141 0.576762173 0.781723545 0.536428029 0.771249551 0.209945602
#>  [97] 0.906651213 0.102243886 0.004099174 0.495957744 0.606754141 0.004099174
#> [103] 0.029199687 0.359443684 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>     8    85    88    86   167    81   108 167.1   150   175    23    15    36 
#> 18.43 16.44 18.37 23.81 15.55 14.06 18.29 15.55 20.33 21.91 16.92 22.68 21.19 
#>   149    32    39   123   157    55   155  85.1   106   133   187   111   154 
#>  8.37 20.90 15.59 13.00 15.10 19.34 13.08 16.44 16.67 14.65  9.92 17.45 12.63 
#>   159   129   190  39.1    96 157.1     5    26  86.1    99   183   153    40 
#> 10.55 23.41 20.81 15.59 14.54 15.10 16.43 15.77 23.81 21.19  9.24 21.33 18.00 
#>  23.1   171  39.2    91 159.1    29 133.1    61   170 170.1   194    79    77 
#> 16.92 16.57 15.59  5.33 10.55 15.45 14.65 10.12 19.54 19.54 22.40 16.23  7.27 
#> 123.1 133.2  61.1    93 149.1 171.1 111.1  40.1   158   136  88.1  36.1    69 
#> 13.00 14.65 10.12 10.33  8.37 16.57 17.45 18.00 20.14 21.83 18.37 21.19 23.23 
#> 159.2   101   125   113  77.1    92 101.1   139    57 133.3  92.1   107 150.1 
#> 10.55  9.97 15.65 22.86  7.27 22.92  9.97 21.49 14.46 14.65 22.92 11.18 20.33 
#> 183.1   100   197 171.2 129.1 175.1    58  23.2  93.1 101.2 136.1    90  29.1 
#>  9.24 16.07 21.60 16.57 23.41 21.91 19.34 16.92 10.33  9.97 21.83 20.94 15.45 
#> 167.2 107.1     6    56  32.1 187.1 175.2    24   188  29.2  24.1   164   117 
#> 15.55 11.18 15.64 12.21 20.90  9.92 21.91 23.89 16.16 15.45 23.89 23.60 17.46 
#>     7     2   135   151   126   172   112   118    80 135.1   160    33    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 151.1   193    83   146  33.1   198 193.1    82     9   191   132  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72    38  38.1   141    48    20   173   163 112.1 173.1   147   156    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.2    67   9.1 118.1    27   174   116   138 135.3    65    28   186     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1   121    98    71 147.1    47   9.2  65.1   119    87    94  47.1 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   165    11 146.1  47.2  95.2  53.1    64 156.1  72.1  83.1 191.1 135.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54  72.2  71.1  38.2    12  12.1 112.2   102  53.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[98]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01569034                1.06108539                0.56169659 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.55201642              0.01539213             -0.63130376 
#>   grade_iii, Cure model 
#>              0.62759677 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 99    21.19      1  38        0         1
#> 166   19.98      1  48        0         0
#> 188   16.16      1  46        0         1
#> 188.1 16.16      1  46        0         1
#> 134   17.81      1  47        1         0
#> 124    9.73      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 92    22.92      1  47        0         1
#> 91     5.33      1  61        0         1
#> 164   23.60      1  76        0         1
#> 128   20.35      1  35        0         1
#> 195   11.76      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 140   12.68      1  59        1         0
#> 150   20.33      1  48        0         0
#> 101    9.97      1  10        0         1
#> 56    12.21      1  60        0         0
#> 43    12.10      1  61        0         1
#> 42    12.43      1  49        0         1
#> 134.1 17.81      1  47        1         0
#> 100.1 16.07      1  60        0         0
#> 190   20.81      1  42        1         0
#> 181   16.46      1  45        0         1
#> 179   18.63      1  42        0         0
#> 45    17.42      1  54        0         1
#> 170   19.54      1  43        0         1
#> 166.1 19.98      1  48        0         0
#> 55    19.34      1  69        0         1
#> 69    23.23      1  25        0         1
#> 140.1 12.68      1  59        1         0
#> 123   13.00      1  44        1         0
#> 78    23.88      1  43        0         0
#> 90    20.94      1  50        0         1
#> 89    11.44      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 60    13.15      1  38        1         0
#> 170.1 19.54      1  43        0         1
#> 30    17.43      1  78        0         0
#> 91.1   5.33      1  61        0         1
#> 153   21.33      1  55        1         0
#> 25     6.32      1  34        1         0
#> 169   22.41      1  46        0         0
#> 79    16.23      1  54        1         0
#> 154   12.63      1  20        1         0
#> 6     15.64      1  39        0         0
#> 108   18.29      1  39        0         1
#> 111   17.45      1  47        0         1
#> 61    10.12      1  36        0         1
#> 90.1  20.94      1  50        0         1
#> 155   13.08      1  26        0         0
#> 188.2 16.16      1  46        0         1
#> 105   19.75      1  60        0         0
#> 169.1 22.41      1  46        0         0
#> 89.1  11.44      1  NA        0         0
#> 61.1  10.12      1  36        0         1
#> 78.1  23.88      1  43        0         0
#> 154.1 12.63      1  20        1         0
#> 124.1  9.73      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 197   21.60      1  69        1         0
#> 90.2  20.94      1  50        0         1
#> 29    15.45      1  68        1         0
#> 43.1  12.10      1  61        0         1
#> 97    19.14      1  65        0         1
#> 170.2 19.54      1  43        0         1
#> 45.1  17.42      1  54        0         1
#> 111.1 17.45      1  47        0         1
#> 97.1  19.14      1  65        0         1
#> 18    15.21      1  49        1         0
#> 59    10.16      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 45.2  17.42      1  54        0         1
#> 81    14.06      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 10    10.53      1  34        0         0
#> 170.3 19.54      1  43        0         1
#> 149    8.37      1  33        1         0
#> 168   23.72      1  70        0         0
#> 197.1 21.60      1  69        1         0
#> 5     16.43      1  51        0         1
#> 157   15.10      1  47        0         0
#> 51    18.23      1  83        0         1
#> 36    21.19      1  48        0         1
#> 166.2 19.98      1  48        0         0
#> 150.1 20.33      1  48        0         0
#> 81.1  14.06      1  34        0         0
#> 70     7.38      1  30        1         0
#> 23    16.92      1  61        0         0
#> 60.1  13.15      1  38        1         0
#> 37    12.52      1  57        1         0
#> 166.3 19.98      1  48        0         0
#> 90.3  20.94      1  50        0         1
#> 188.3 16.16      1  46        0         1
#> 169.2 22.41      1  46        0         0
#> 77     7.27      1  67        0         1
#> 5.1   16.43      1  51        0         1
#> 110.1 17.56      1  65        0         1
#> 166.4 19.98      1  48        0         0
#> 81.2  14.06      1  34        0         0
#> 168.1 23.72      1  70        0         0
#> 30.1  17.43      1  78        0         0
#> 37.1  12.52      1  57        1         0
#> 166.5 19.98      1  48        0         0
#> 56.1  12.21      1  60        0         0
#> 113   22.86      1  34        0         0
#> 66    22.13      1  53        0         0
#> 197.2 21.60      1  69        1         0
#> 168.2 23.72      1  70        0         0
#> 154.2 12.63      1  20        1         0
#> 74    24.00      0  43        0         1
#> 131   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 102   24.00      0  49        0         0
#> 34    24.00      0  36        0         0
#> 126   24.00      0  48        0         0
#> 109   24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 54    24.00      0  53        1         0
#> 28    24.00      0  67        1         0
#> 38    24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 193   24.00      0  45        0         1
#> 193.1 24.00      0  45        0         1
#> 2     24.00      0   9        0         0
#> 163   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 11    24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 74.1  24.00      0  43        0         1
#> 17.1  24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 31    24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 35    24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 28.1  24.00      0  67        1         0
#> 46.1  24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 28.2  24.00      0  67        1         0
#> 138.1 24.00      0  44        1         0
#> 138.2 24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 80    24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 120   24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 20    24.00      0  46        1         0
#> 98    24.00      0  34        1         0
#> 148.1 24.00      0  61        1         0
#> 28.3  24.00      0  67        1         0
#> 35.1  24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 7.1   24.00      0  37        1         0
#> 84    24.00      0  39        0         1
#> 21    24.00      0  47        0         0
#> 35.2  24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 83    24.00      0   6        0         0
#> 28.4  24.00      0  67        1         0
#> 178   24.00      0  52        1         0
#> 116.1 24.00      0  58        0         1
#> 173.1 24.00      0  19        0         1
#> 137   24.00      0  45        1         0
#> 35.3  24.00      0  51        0         0
#> 21.1  24.00      0  47        0         0
#> 28.5  24.00      0  67        1         0
#> 119.1 24.00      0  17        0         0
#> 185   24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 1.1   24.00      0  23        1         0
#> 44    24.00      0  56        0         0
#> 21.2  24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 126.1 24.00      0  48        0         0
#> 98.1  24.00      0  34        1         0
#> 118   24.00      0  44        1         0
#> 44.1  24.00      0  56        0         0
#> 138.3 24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 103   24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 119.2 24.00      0  17        0         0
#> 3     24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 94.1  24.00      0  51        0         1
#> 34.1  24.00      0  36        0         0
#> 83.1  24.00      0   6        0         0
#> 27    24.00      0  63        1         0
#> 73.1  24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.552         NA        NA      NA
#> 2 age, Cure model           0.0154        NA        NA      NA
#> 3 grade_ii, Cure model     -0.631         NA        NA      NA
#> 4 grade_iii, Cure model     0.628         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0157        NA        NA      NA
#> 2 grade_ii, Survival model    1.06          NA        NA      NA
#> 3 grade_iii, Survival model   0.562         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.55202           0.01539          -0.63130           0.62760  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 247.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.55201642       0.01539213      -0.63130376       0.62759677 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01569034       1.06108539       0.56169659 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.1003868117 0.1855641686 0.5320011601 0.5320011601 0.3566533355
#>   [6] 0.5773241869 0.0198933561 0.9771039856 0.0102852866 0.1611170834
#>  [11] 0.3772235538 0.7462624799 0.1691242432 0.9194147323 0.8379967707
#>  [16] 0.8610360297 0.8265894928 0.3566533355 0.5773241869 0.1531049841
#>  [21] 0.4859415764 0.3249793374 0.4413395268 0.2471067677 0.1855641686
#>  [26] 0.2845550994 0.0152213869 0.7462624799 0.7341600861 0.0003267236
#>  [31] 0.1227625139 0.6493188398 0.6979231142 0.2471067677 0.4193859137
#>  [36] 0.9771039856 0.0924560934 0.9656761047 0.0416980243 0.5204404817
#>  [41] 0.7701596404 0.6010279742 0.3354700429 0.3982146903 0.8960413518
#>  [46] 0.1227625139 0.7219675015 0.5320011601 0.2373312480 0.0416980243
#>  [51] 0.8960413518 0.0003267236 0.7701596404 0.2945590597 0.0702675725
#>  [56] 0.1227625139 0.6131092261 0.8610360297 0.3046481674 0.2471067677
#>  [61] 0.4413395268 0.3982146903 0.3046481674 0.6251918763 0.1003868117
#>  [66] 0.0300463532 0.4413395268 0.6614317467 0.0300463532 0.8842784294
#>  [71] 0.2471067677 0.9311020535 0.0023274496 0.0702675725 0.4974556070
#>  [76] 0.6371957869 0.3459768692 0.1003868117 0.1855641686 0.1691242432
#>  [81] 0.6614317467 0.9426844563 0.4744641155 0.6979231142 0.8039903088
#>  [86] 0.1855641686 0.1227625139 0.5320011601 0.0416980243 0.9541534726
#>  [91] 0.4974556070 0.3772235538 0.1855641686 0.6614317467 0.0023274496
#>  [96] 0.4193859137 0.8039903088 0.1855641686 0.8379967707 0.0247539612
#> [101] 0.0620070023 0.0702675725 0.0023274496 0.7701596404 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    99   166   188 188.1   134   100    92    91   164   128   110   140   150 
#> 21.19 19.98 16.16 16.16 17.81 16.07 22.92  5.33 23.60 20.35 17.56 12.68 20.33 
#>   101    56    43    42 134.1 100.1   190   181   179    45   170 166.1    55 
#>  9.97 12.21 12.10 12.43 17.81 16.07 20.81 16.46 18.63 17.42 19.54 19.98 19.34 
#>    69 140.1   123    78    90    96    60 170.1    30  91.1   153    25   169 
#> 23.23 12.68 13.00 23.88 20.94 14.54 13.15 19.54 17.43  5.33 21.33  6.32 22.41 
#>    79   154     6   108   111    61  90.1   155 188.2   105 169.1  61.1  78.1 
#> 16.23 12.63 15.64 18.29 17.45 10.12 20.94 13.08 16.16 19.75 22.41 10.12 23.88 
#> 154.1    76   197  90.2    29  43.1    97 170.2  45.1 111.1  97.1    18  99.1 
#> 12.63 19.22 21.60 20.94 15.45 12.10 19.14 19.54 17.42 17.45 19.14 15.21 21.19 
#>    15  45.2    81  15.1    10 170.3   149   168 197.1     5   157    51    36 
#> 22.68 17.42 14.06 22.68 10.53 19.54  8.37 23.72 21.60 16.43 15.10 18.23 21.19 
#> 166.2 150.1  81.1    70    23  60.1    37 166.3  90.3 188.3 169.2    77   5.1 
#> 19.98 20.33 14.06  7.38 16.92 13.15 12.52 19.98 20.94 16.16 22.41  7.27 16.43 
#> 110.1 166.4  81.2 168.1  30.1  37.1 166.5  56.1   113    66 197.2 168.2 154.2 
#> 17.56 19.98 14.06 23.72 17.43 12.52 19.98 12.21 22.86 22.13 21.60 23.72 12.63 
#>    74   131   132   102    34   126   109   156    46   173    54    28    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33   138   148   193 193.1     2   163    11    48    17  74.1  17.1    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    95    35    94  28.1  46.1    22  28.2 138.1 138.2  48.1   104     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   116   120     1    20    98 148.1  28.3  35.1 163.1   7.1    84    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.2   119    83  28.4   178 116.1 173.1   137  35.3  21.1  28.5 119.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1   1.1    44  21.2   122 126.1  98.1   118  44.1 138.3    53   103     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191 119.2     3   147  94.1  34.1  83.1    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[99]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                 0.0186543                 0.3497771                 1.0347924 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.78984243              0.01512941             -0.30651465 
#>   grade_iii, Cure model 
#>              0.96838174 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 41    18.02      1  40        1         0
#> 150   20.33      1  48        0         0
#> 5     16.43      1  51        0         1
#> 63    22.77      1  31        1         0
#> 76    19.22      1  54        0         1
#> 153   21.33      1  55        1         0
#> 194   22.40      1  38        0         1
#> 129   23.41      1  53        1         0
#> 69    23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 171   16.57      1  41        0         1
#> 154   12.63      1  20        1         0
#> 13    14.34      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 26    15.77      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 13.1  14.34      1  54        0         1
#> 127    3.53      1  62        0         1
#> 197   21.60      1  69        1         0
#> 23    16.92      1  61        0         0
#> 175   21.91      1  43        0         0
#> 117   17.46      1  26        0         1
#> 168   23.72      1  70        0         0
#> 111.1 17.45      1  47        0         1
#> 41.1  18.02      1  40        1         0
#> 99    21.19      1  38        0         1
#> 128   20.35      1  35        0         1
#> 175.1 21.91      1  43        0         0
#> 77     7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 139   21.49      1  63        1         0
#> 189.1 10.51      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 188   16.16      1  46        0         1
#> 123   13.00      1  44        1         0
#> 170   19.54      1  43        0         1
#> 192   16.44      1  31        1         0
#> 49    12.19      1  48        1         0
#> 166   19.98      1  48        0         0
#> 68    20.62      1  44        0         0
#> 99.1  21.19      1  38        0         1
#> 96.1  14.54      1  33        0         1
#> 179   18.63      1  42        0         0
#> 18    15.21      1  49        1         0
#> 167   15.55      1  56        1         0
#> 77.1   7.27      1  67        0         1
#> 41.2  18.02      1  40        1         0
#> 170.1 19.54      1  43        0         1
#> 76.1  19.22      1  54        0         1
#> 150.1 20.33      1  48        0         0
#> 6     15.64      1  39        0         0
#> 16     8.71      1  71        0         1
#> 24.1  23.89      1  38        0         0
#> 111.2 17.45      1  47        0         1
#> 59    10.16      1  NA        1         0
#> 188.1 16.16      1  46        0         1
#> 13.2  14.34      1  54        0         1
#> 51    18.23      1  83        0         1
#> 195   11.76      1  NA        1         0
#> 128.1 20.35      1  35        0         1
#> 70     7.38      1  30        1         0
#> 50    10.02      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 195.1 11.76      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 158   20.14      1  74        1         0
#> 40    18.00      1  28        1         0
#> 57    14.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 89    11.44      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 68.1  20.62      1  44        0         0
#> 58    19.34      1  39        0         0
#> 66    22.13      1  53        0         0
#> 45    17.42      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 171.1 16.57      1  41        0         1
#> 89.1  11.44      1  NA        0         0
#> 133   14.65      1  57        0         0
#> 130   16.47      1  53        0         1
#> 187    9.92      1  39        1         0
#> 23.1  16.92      1  61        0         0
#> 139.1 21.49      1  63        1         0
#> 29    15.45      1  68        1         0
#> 69.1  23.23      1  25        0         1
#> 177   12.53      1  75        0         0
#> 129.1 23.41      1  53        1         0
#> 57.1  14.46      1  45        0         1
#> 97    19.14      1  65        0         1
#> 37    12.52      1  57        1         0
#> 111.3 17.45      1  47        0         1
#> 89.2  11.44      1  NA        0         0
#> 63.1  22.77      1  31        1         0
#> 58.1  19.34      1  39        0         0
#> 180   14.82      1  37        0         0
#> 117.1 17.46      1  26        0         1
#> 77.2   7.27      1  67        0         1
#> 108   18.29      1  39        0         1
#> 63.2  22.77      1  31        1         0
#> 23.2  16.92      1  61        0         0
#> 190   20.81      1  42        1         0
#> 170.2 19.54      1  43        0         1
#> 189.2 10.51      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 110   17.56      1  65        0         1
#> 190.1 20.81      1  42        1         0
#> 181.1 16.46      1  45        0         1
#> 13.3  14.34      1  54        0         1
#> 78.1  23.88      1  43        0         0
#> 88.1  18.37      1  47        0         0
#> 11    24.00      0  42        0         1
#> 200   24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 119   24.00      0  17        0         0
#> 182   24.00      0  35        0         0
#> 7     24.00      0  37        1         0
#> 48    24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 135   24.00      0  58        1         0
#> 118   24.00      0  44        1         0
#> 182.1 24.00      0  35        0         0
#> 135.1 24.00      0  58        1         0
#> 138.1 24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 27    24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 193   24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 22    24.00      0  52        1         0
#> 62    24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 67    24.00      0  25        0         0
#> 102   24.00      0  49        0         0
#> 176   24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 31.1  24.00      0  36        0         1
#> 87    24.00      0  27        0         0
#> 54    24.00      0  53        1         0
#> 173   24.00      0  19        0         1
#> 44    24.00      0  56        0         0
#> 71.1  24.00      0  51        0         0
#> 31.2  24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 27.1  24.00      0  63        1         0
#> 193.1 24.00      0  45        0         1
#> 2     24.00      0   9        0         0
#> 144   24.00      0  28        0         1
#> 21    24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 178   24.00      0  52        1         0
#> 178.1 24.00      0  52        1         0
#> 196.1 24.00      0  19        0         0
#> 142   24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 182.2 24.00      0  35        0         0
#> 71.2  24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 7.1   24.00      0  37        1         0
#> 64    24.00      0  43        0         0
#> 12    24.00      0  63        0         0
#> 1.1   24.00      0  23        1         0
#> 112   24.00      0  61        0         0
#> 144.1 24.00      0  28        0         1
#> 34    24.00      0  36        0         0
#> 147   24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 116.1 24.00      0  58        0         1
#> 82    24.00      0  34        0         0
#> 84.1  24.00      0  39        0         1
#> 156.1 24.00      0  50        1         0
#> 64.1  24.00      0  43        0         0
#> 174.1 24.00      0  49        1         0
#> 12.1  24.00      0  63        0         0
#> 7.2   24.00      0  37        1         0
#> 102.1 24.00      0  49        0         0
#> 121   24.00      0  57        1         0
#> 138.2 24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 20    24.00      0  46        1         0
#> 143   24.00      0  51        0         0
#> 138.3 24.00      0  44        1         0
#> 135.2 24.00      0  58        1         0
#> 20.1  24.00      0  46        1         0
#> 94    24.00      0  51        0         1
#> 54.1  24.00      0  53        1         0
#> 104   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 156.2 24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 147.1 24.00      0  76        1         0
#> 160.1 24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.790         NA        NA      NA
#> 2 age, Cure model           0.0151        NA        NA      NA
#> 3 grade_ii, Cure model     -0.307         NA        NA      NA
#> 4 grade_iii, Cure model     0.968         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0187        NA        NA      NA
#> 2 grade_ii, Survival model    0.350         NA        NA      NA
#> 3 grade_iii, Survival model   1.03          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.78984           0.01513          -0.30651           0.96838  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.9 
#> Residual Deviance: 245.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.78984243       0.01512941      -0.30651465       0.96838174 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>        0.0186543        0.3497771        1.0347924 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8418507 0.7396962 0.9204925 0.5346370 0.8027666 0.6654573 0.5805628
#>   [8] 0.4509592 0.4987868 0.9144125 0.8985741 0.9733014 0.9614892 0.8707856
#>  [15] 0.9292228 0.9614892 0.9979342 0.6331127 0.8884443 0.6079275 0.8629228
#>  [22] 0.4155104 0.8707856 0.8418507 0.6753808 0.7251306 0.6079275 0.9916463
#>  [29] 0.2008727 0.6448564 0.9511891 0.9234754 0.9709423 0.7740114 0.9144125
#>  [36] 0.9803090 0.7606738 0.7091504 0.6753808 0.9511891 0.8181517 0.9431159
#>  [43] 0.9376422 0.9916463 0.8418507 0.7740114 0.8027666 0.7396962 0.9320482
#>  [50] 0.9871886 0.2008727 0.8707856 0.9234754 0.9614892 0.8374436 0.7251306
#>  [57] 0.9894212 0.9082818 0.9348645 0.7538580 0.8546060 0.9564156 0.9826142
#>  [64] 0.3286111 0.7091504 0.7913464 0.5945108 0.8849705 0.7674024 0.8985741
#>  [71] 0.9485102 0.9050923 0.9849066 0.8884443 0.6448564 0.9403952 0.4987868
#>  [78] 0.9756545 0.4509592 0.9564156 0.8131921 0.9779904 0.8707856 0.5346370
#>  [85] 0.7913464 0.9458169 0.8629228 0.9916463 0.8327331 0.5346370 0.8884443
#>  [92] 0.6926986 0.7740114 0.8230759 0.8588495 0.6926986 0.9082818 0.9614892
#>  [99] 0.3286111 0.8230759 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    41   150     5    63    76   153   194   129    69    85   171   154    13 
#> 18.02 20.33 16.43 22.77 19.22 21.33 22.40 23.41 23.23 16.44 16.57 12.63 14.34 
#>   111    26  13.1   127   197    23   175   117   168 111.1  41.1    99   128 
#> 17.45 15.77 14.34  3.53 21.60 16.92 21.91 17.46 23.72 17.45 18.02 21.19 20.35 
#> 175.1    77    24   139    96   188   123   170   192    49   166    68  99.1 
#> 21.91  7.27 23.89 21.49 14.54 16.16 13.00 19.54 16.44 12.19 19.98 20.62 21.19 
#>  96.1   179    18   167  77.1  41.2 170.1  76.1 150.1     6    16  24.1 111.2 
#> 14.54 18.63 15.21 15.55  7.27 18.02 19.54 19.22 20.33 15.64  8.71 23.89 17.45 
#> 188.1  13.2    51 128.1    70   181    39   158    40    57   101    78  68.1 
#> 16.16 14.34 18.23 20.35  7.38 16.46 15.59 20.14 18.00 14.46  9.97 23.88 20.62 
#>    58    66    45   105 171.1   133   130   187  23.1 139.1    29  69.1   177 
#> 19.34 22.13 17.42 19.75 16.57 14.65 16.47  9.92 16.92 21.49 15.45 23.23 12.53 
#> 129.1  57.1    97    37 111.3  63.1  58.1   180 117.1  77.2   108  63.2  23.2 
#> 23.41 14.46 19.14 12.52 17.45 22.77 19.34 14.82 17.46  7.27 18.29 22.77 16.92 
#>   190 170.2    88   110 190.1 181.1  13.3  78.1  88.1    11   200   196   119 
#> 20.81 19.54 18.37 17.56 20.81 16.46 14.34 23.88 18.37 24.00 24.00 24.00 24.00 
#>   182     7    48   138   120   116   135   118 182.1 135.1 138.1   198    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   193    98    22    62     1    67   102   176    71    31  31.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   173    44  71.1  31.2   172   165    28  27.1 193.1     2   144    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   178 178.1 196.1   142   156     3 182.2  71.2  67.1   7.1    64    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1   112 144.1    34   147    65 116.1    82  84.1 156.1  64.1 174.1  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.2 102.1   121 138.2    17    53    20   143 138.3 135.2  20.1    94  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   160 156.2   152 147.1 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[100]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00525467                1.06452241                0.60616201 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.549613362             0.004377977             0.469844394 
#>   grade_iii, Cure model 
#>             1.001339054 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564823521e00>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 93    10.33      1  52        0         1
#> 13    14.34      1  54        0         1
#> 26    15.77      1  49        0         1
#> 68    20.62      1  44        0         0
#> 30    17.43      1  78        0         0
#> 175   21.91      1  43        0         0
#> 194   22.40      1  38        0         1
#> 155   13.08      1  26        0         0
#> 168   23.72      1  70        0         0
#> 6     15.64      1  39        0         0
#> 158   20.14      1  74        1         0
#> 51    18.23      1  83        0         1
#> 134   17.81      1  47        1         0
#> 70     7.38      1  30        1         0
#> 192   16.44      1  31        1         0
#> 194.1 22.40      1  38        0         1
#> 106   16.67      1  49        1         0
#> 78    23.88      1  43        0         0
#> 136   21.83      1  43        0         1
#> 78.1  23.88      1  43        0         0
#> 77     7.27      1  67        0         1
#> 199   19.81      1  NA        0         1
#> 150   20.33      1  48        0         0
#> 166   19.98      1  48        0         0
#> 154   12.63      1  20        1         0
#> 45    17.42      1  54        0         1
#> 90    20.94      1  50        0         1
#> 52    10.42      1  52        0         1
#> 29    15.45      1  68        1         0
#> 61    10.12      1  36        0         1
#> 171   16.57      1  41        0         1
#> 58    19.34      1  39        0         0
#> 108   18.29      1  39        0         1
#> 159   10.55      1  50        0         1
#> 139   21.49      1  63        1         0
#> 4     17.64      1  NA        0         1
#> 76    19.22      1  54        0         1
#> 105   19.75      1  60        0         0
#> 188   16.16      1  46        0         1
#> 170   19.54      1  43        0         1
#> 96    14.54      1  33        0         1
#> 51.1  18.23      1  83        0         1
#> 97    19.14      1  65        0         1
#> 106.1 16.67      1  49        1         0
#> 97.1  19.14      1  65        0         1
#> 26.1  15.77      1  49        0         1
#> 166.1 19.98      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 183.1  9.24      1  67        1         0
#> 113   22.86      1  34        0         0
#> 157   15.10      1  47        0         0
#> 63    22.77      1  31        1         0
#> 177   12.53      1  75        0         0
#> 43    12.10      1  61        0         1
#> 169   22.41      1  46        0         0
#> 199.1 19.81      1  NA        0         1
#> 145   10.07      1  65        1         0
#> 81    14.06      1  34        0         0
#> 91     5.33      1  61        0         1
#> 70.1   7.38      1  30        1         0
#> 86    23.81      1  58        0         1
#> 26.2  15.77      1  49        0         1
#> 79.1  16.23      1  54        1         0
#> 159.1 10.55      1  50        0         1
#> 37    12.52      1  57        1         0
#> 199.2 19.81      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 124    9.73      1  NA        1         0
#> 96.1  14.54      1  33        0         1
#> 117   17.46      1  26        0         1
#> 90.1  20.94      1  50        0         1
#> 158.1 20.14      1  74        1         0
#> 124.1  9.73      1  NA        1         0
#> 70.2   7.38      1  30        1         0
#> 86.1  23.81      1  58        0         1
#> 154.1 12.63      1  20        1         0
#> 96.2  14.54      1  33        0         1
#> 15    22.68      1  48        0         0
#> 70.3   7.38      1  30        1         0
#> 6.1   15.64      1  39        0         0
#> 127    3.53      1  62        0         1
#> 92    22.92      1  47        0         1
#> 183.2  9.24      1  67        1         0
#> 153   21.33      1  55        1         0
#> 42    12.43      1  49        0         1
#> 155.1 13.08      1  26        0         0
#> 16     8.71      1  71        0         1
#> 159.2 10.55      1  50        0         1
#> 108.1 18.29      1  39        0         1
#> 111   17.45      1  47        0         1
#> 92.1  22.92      1  47        0         1
#> 140   12.68      1  59        1         0
#> 190   20.81      1  42        1         0
#> 13.1  14.34      1  54        0         1
#> 167   15.55      1  56        1         0
#> 86.2  23.81      1  58        0         1
#> 140.1 12.68      1  59        1         0
#> 32    20.90      1  37        1         0
#> 78.2  23.88      1  43        0         0
#> 107   11.18      1  54        1         0
#> 93.1  10.33      1  52        0         1
#> 114   13.68      1  NA        0         0
#> 166.2 19.98      1  48        0         0
#> 51.2  18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 164   23.60      1  76        0         1
#> 136.1 21.83      1  43        0         1
#> 113.1 22.86      1  34        0         0
#> 169.1 22.41      1  46        0         0
#> 18    15.21      1  49        1         0
#> 120   24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 121   24.00      0  57        1         0
#> 22    24.00      0  52        1         0
#> 162   24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 121.1 24.00      0  57        1         0
#> 22.1  24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 12    24.00      0  63        0         0
#> 12.1  24.00      0  63        0         0
#> 165   24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 47    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 102.1 24.00      0  49        0         0
#> 165.1 24.00      0  47        0         0
#> 84.1  24.00      0  39        0         1
#> 173   24.00      0  19        0         1
#> 200   24.00      0  64        0         0
#> 178   24.00      0  52        1         0
#> 1     24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 121.2 24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 131   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 73    24.00      0  NA        0         1
#> 112   24.00      0  61        0         0
#> 132   24.00      0  55        0         0
#> 122   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 120.1 24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 33.1  24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 28    24.00      0  67        1         0
#> 1.1   24.00      0  23        1         0
#> 132.1 24.00      0  55        0         0
#> 84.2  24.00      0  39        0         1
#> 178.1 24.00      0  52        1         0
#> 33.2  24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 141.1 24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 71    24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 38    24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 131.1 24.00      0  66        0         0
#> 120.2 24.00      0  68        0         1
#> 94    24.00      0  51        0         1
#> 198.1 24.00      0  66        0         1
#> 74    24.00      0  43        0         1
#> 11    24.00      0  42        0         1
#> 28.1  24.00      0  67        1         0
#> 3     24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 53    24.00      0  32        0         1
#> 38.1  24.00      0  31        1         0
#> 84.3  24.00      0  39        0         1
#> 82.1  24.00      0  34        0         0
#> 200.1 24.00      0  64        0         0
#> 116.1 24.00      0  58        0         1
#> 151.1 24.00      0  42        0         0
#> 74.1  24.00      0  43        0         1
#> 143   24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 186   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 165.2 24.00      0  47        0         0
#> 103.1 24.00      0  56        1         0
#> 67    24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 31.1  24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 34    24.00      0  36        0         0
#> 44    24.00      0  56        0         0
#> 17    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 120.3 24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.550          NA        NA      NA
#> 2 age, Cure model          0.00438        NA        NA      NA
#> 3 grade_ii, Cure model     0.470          NA        NA      NA
#> 4 grade_iii, Cure model    1.00           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00525        NA        NA      NA
#> 2 grade_ii, Survival model   1.06           NA        NA      NA
#> 3 grade_iii, Survival model  0.606          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.549613          0.004378          0.469844          1.001339  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 255.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.549613362      0.004377977      0.469844394      1.001339054 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00525467       1.06452241       0.60616201 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.64503822 0.90171381 0.76401469 0.66961666 0.39125001 0.59238154
#>   [7] 0.27645938 0.25102377 0.79437065 0.10920376 0.69354614 0.41160894
#>  [13] 0.53727656 0.56500450 0.95562928 0.63653784 0.25102377 0.61053444
#>  [19] 0.01957936 0.28960938 0.01957936 0.98092116 0.40140069 0.43086213
#>  [25] 0.82414503 0.60148404 0.34922889 0.89477618 0.71765934 0.91545252
#>  [31] 0.62786801 0.47960788 0.51844705 0.87406127 0.32640509 0.48947846
#>  [37] 0.45984561 0.66141955 0.46977481 0.74118841 0.53727656 0.49927390
#>  [43] 0.61053444 0.49927390 0.66961666 0.43086213 0.92913581 0.92913581
#>  [49] 0.16914276 0.73336843 0.19749052 0.83846580 0.85993510 0.22423025
#>  [55] 0.92232108 0.77919341 0.98729420 0.95562928 0.06857925 0.66961666
#>  [61] 0.64503822 0.87406127 0.84567717 0.78683233 0.74118841 0.57420895
#>  [67] 0.34922889 0.41160894 0.95562928 0.06857925 0.82414503 0.74118841
#>  [73] 0.21076575 0.95562928 0.69354614 0.99365367 0.14156019 0.92913581
#>  [79] 0.33804256 0.85281857 0.79437065 0.94898011 0.87406127 0.51844705
#>  [85] 0.58332583 0.14156019 0.80941205 0.38115341 0.76401469 0.70966141
#>  [91] 0.06857925 0.80941205 0.37068951 0.01957936 0.86703222 0.90171381
#>  [97] 0.43086213 0.53727656 0.31430062 0.12561948 0.28960938 0.16914276
#> [103] 0.22423025 0.72556665 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    79    93    13    26    68    30   175   194   155   168     6   158    51 
#> 16.23 10.33 14.34 15.77 20.62 17.43 21.91 22.40 13.08 23.72 15.64 20.14 18.23 
#>   134    70   192 194.1   106    78   136  78.1    77   150   166   154    45 
#> 17.81  7.38 16.44 22.40 16.67 23.88 21.83 23.88  7.27 20.33 19.98 12.63 17.42 
#>    90    52    29    61   171    58   108   159   139    76   105   188   170 
#> 20.94 10.42 15.45 10.12 16.57 19.34 18.29 10.55 21.49 19.22 19.75 16.16 19.54 
#>    96  51.1    97 106.1  97.1  26.1 166.1   183 183.1   113   157    63   177 
#> 14.54 18.23 19.14 16.67 19.14 15.77 19.98  9.24  9.24 22.86 15.10 22.77 12.53 
#>    43   169   145    81    91  70.1    86  26.2  79.1 159.1    37    60  96.1 
#> 12.10 22.41 10.07 14.06  5.33  7.38 23.81 15.77 16.23 10.55 12.52 13.15 14.54 
#>   117  90.1 158.1  70.2  86.1 154.1  96.2    15  70.3   6.1   127    92 183.2 
#> 17.46 20.94 20.14  7.38 23.81 12.63 14.54 22.68  7.38 15.64  3.53 22.92  9.24 
#>   153    42 155.1    16 159.2 108.1   111  92.1   140   190  13.1   167  86.2 
#> 21.33 12.43 13.08  8.71 10.55 18.29 17.45 22.92 12.68 20.81 14.34 15.55 23.81 
#> 140.1    32  78.2   107  93.1 166.2  51.2   197   164 136.1 113.1 169.1    18 
#> 12.68 20.90 23.88 11.18 10.33 19.98 18.23 21.60 23.60 21.83 22.86 22.41 15.21 
#>   120   116   121    22   162 162.1 121.1  22.1   102    12  12.1   165    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47   141   146 102.1 165.1  84.1   173   200   178     1   185 121.2   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   131    33    82   112   132   122   135 120.1   174  33.1   151   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   1.1 132.1  84.2 178.1  33.2    46 141.1   193    71    20    38 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1 120.2    94 198.1    74    11  28.1     3   126   103    53  38.1  84.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1 200.1 116.1 151.1  74.1   143     9   176   186   163    98 165.2 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    31  31.1     2    34    44    17    27 120.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 2 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#> 
#> $cure_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 0 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#>